c-ho/task2_prompt_test_set_Book_en_ · Datasets at Hugging Face

3A656140917.jsonld

Judaism and Islam

Pt. 1. Judaism and sexuality: exploring historical viewpoints -- pt. 2. Judaism and sexuality: the traditional modernist divide -- pt. 3. Islam and sexuality: sexuality in historical context -- pt. 4. Islam and sexuality in global perspective

[ "['rel']", "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Judaism and Islam - Document Abstract: Pt. 1. Judaism and sexuality: exploring historical viewpoints -- pt. 2. Judaism and sexuality: the traditional modernist divide -- pt. 3. Islam and sexuality: sexuality in historical context -- pt. 4. Islam and sexuality in global perspective - Document LIN Search class: ['rel'], ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1853724920.jsonld

The abusive customer : breaking the silence around customers' aggressive behavior

"Breaking the silence around an all-too-common problem, this book offers insights into the triggers of customer aggression against service employees, explores its consequences, and provides practical advice for handling abusive customers and mitigating the damage they inflict. Today, more than half of the world's population is employed in the service sector. This fundamental economic shift is accompanied by heightened attention to customer service and the 'customer is always right' paradigm. But when customers act aggressively, everyone pays a price: frontline employees, their families, their companies, and even the abusive customers themselves. Unlike breezier titles on the subject, this book is based in academic research - exploring the 'why?' and 'when?' behind abusive behavior - that underpins its practical approach, illustrated with real-world stories from professionals on the front lines of customer service. The book's useful tools include a sample anti-customer abuse policy and management process, a cheatsheet of practices that work for handling its consequences, a summary of effective service recovery processes and practices, and abuse-handling training list and curriculum templates. Managers and workers in customer-facing roles, in industries such as retail, hospitality, tourism, banking, and contact centers, will welcome this essential resource as part of their efforts to stop aggressive customer behavior, and improve employee morale, job satisfaction, and engagement."

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The abusive customer : breaking the silence around customers' aggressive behavior - Document Abstract: "Breaking the silence around an all-too-common problem, this book offers insights into the triggers of customer aggression against service employees, explores its consequences, and provides practical advice for handling abusive customers and mitigating the damage they inflict. Today, more than half of the world's population is employed in the service sector. This fundamental economic shift is accompanied by heightened attention to customer service and the 'customer is always right' paradigm. But when customers act aggressively, everyone pays a price: frontline employees, their families, their companies, and even the abusive customers themselves. Unlike breezier titles on the subject, this book is based in academic research - exploring the 'why?' and 'when?' behind abusive behavior - that underpins its practical approach, illustrated with real-world stories from professionals on the front lines of customer service. The book's useful tools include a sample anti-customer abuse policy and management process, a cheatsheet of practices that work for handling its consequences, a summary of effective service recovery processes and practices, and abuse-handling training list and curriculum templates. Managers and workers in customer-facing roles, in industries such as retail, hospitality, tourism, banking, and contact centers, will welcome this essential resource as part of their efforts to stop aggressive customer behavior, and improve employee morale, job satisfaction, and engagement." - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A858733897.jsonld

The Oxford handbook of Hobbes

This handbook is currently in development, with individual articles publishing online in advance of print publication. The table of contents will continue to grow as additional articles pass through the review process and are added to the site.

[ "['oek']", "['lit']", "['lin']", "['rest']", "['bio']", "['inf']", "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Oxford handbook of Hobbes - Document Abstract: This handbook is currently in development, with individual articles publishing online in advance of print publication. The table of contents will continue to grow as additional articles pass through the review process and are added to the site. - Document LIN Search class: ['oek'], ['lit'], ['lin'], ['rest'], ['bio'], ['inf'], ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A729980952.jsonld

Eco-Innovation in Industry : Enabling Green Growth

Eco-innovation will be a key driver of industry efforts to tackle climate change and realise “green growth” in the post-Kyoto era. Eco-innovation calls for faster introduction of breakthrough technologies and for more systemic application of available solutions, including non-technological ones. It also offers opportunities to involve new players, develop new industries and increase competitiveness. Structural change in economies will be imperative in coming decades. This book presents the research and analysis carried out during the first phase of the OECD Project on Sustainable Manufacturing and Eco-innovation. Its aim is to provide benchmarking tools on sustainable manufacturing and to spur eco-innovation through better understanding of innovation mechanisms. It reviews the concepts and forms an analytical framework; analyses the nature and processes of eco-innovation; discusses existing sustainable manufacturing indicators; examines methodologies for measuring eco-innovation; and takes stock of national strategies and policy initiatives for eco-innovation.

[ "['oek']", "['mas']", "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Eco-Innovation in Industry : Enabling Green Growth - Document Abstract: Eco-innovation will be a key driver of industry efforts to tackle climate change and realise “green growth” in the post-Kyoto era. Eco-innovation calls for faster introduction of breakthrough technologies and for more systemic application of available solutions, including non-technological ones. It also offers opportunities to involve new players, develop new industries and increase competitiveness. Structural change in economies will be imperative in coming decades. This book presents the research and analysis carried out during the first phase of the OECD Project on Sustainable Manufacturing and Eco-innovation. Its aim is to provide benchmarking tools on sustainable manufacturing and to spur eco-innovation through better understanding of innovation mechanisms. It reviews the concepts and forms an analytical framework; analyses the nature and processes of eco-innovation; discusses existing sustainable manufacturing indicators; examines methodologies for measuring eco-innovation; and takes stock of national strategies and policy initiatives for eco-innovation. - Document LIN Search class: ['oek'], ['mas'], ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1698073143.jsonld

Health for Everyone? : Social Inequalities in Health and Health Systems

Good health is a key component of people’s well-being. It is a value in itself but – through its influence on social, education and labour market outcomes – being in good or bad health has also wider implications on people’s chances of leading a fulfilling and productive life. Yet, even in the OECD countries, health inequality persists with severe consequences on the goal of promoting inclusive growth. This report documents a comprehensive range of inequalities in health and health systems to the detriment of disadvantaged population groups in a large set of OECD and EU countries. It assesses the gaps in health outcomes and risk factors between different socio-economic groups. When it comes to health systems, the report measures inequalities in health care utilisation, unmet needs and the affordability of health care services. For each of these different domains, the report identifies groups of countries that display higher, intermediate, and low levels of inequality. The report makes a strong case for addressing health-related inequalities as a key component of a policy strategy to promote inclusive growth and reduce social inequalities. It also provides a framework for more in-depth analyses on how to address these inequalities at country level.

[ "['oek']", "['sow']", "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Health for Everyone? : Social Inequalities in Health and Health Systems - Document Abstract: Good health is a key component of people’s well-being. It is a value in itself but – through its influence on social, education and labour market outcomes – being in good or bad health has also wider implications on people’s chances of leading a fulfilling and productive life. Yet, even in the OECD countries, health inequality persists with severe consequences on the goal of promoting inclusive growth. This report documents a comprehensive range of inequalities in health and health systems to the detriment of disadvantaged population groups in a large set of OECD and EU countries. It assesses the gaps in health outcomes and risk factors between different socio-economic groups. When it comes to health systems, the report measures inequalities in health care utilisation, unmet needs and the affordability of health care services. For each of these different domains, the report identifies groups of countries that display higher, intermediate, and low levels of inequality. The report makes a strong case for addressing health-related inequalities as a key component of a policy strategy to promote inclusive growth and reduce social inequalities. It also provides a framework for more in-depth analyses on how to address these inequalities at country level. - Document LIN Search class: ['oek'], ['sow'], ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1654326739.jsonld

The Manager’s Guide to Web Application Security : A Concise Guide to the Weaker Side of the Web

The Manager's Guide to Web Application Security is a concise, information-packed guide to application security risks every organization faces, written in plain language, with guidance on how to deal with those issues quickly and effectively. Often, security vulnerabilities are difficult to understand and quantify because they are the result of intricate programming deficiencies and highly technical issues. Author and noted industry expert Ron Lepofsky breaks down the technical barrier and identifies many real-world examples of security vulnerabilities commonly found by IT security auditors, translates them into business risks with identifiable consequences, and provides practical guidance about mitigating them. The Manager's Guide to Web Application Security describes how to fix and prevent these vulnerabilities in easy-to-understand discussions of vulnerability classes and their remediation. For easy reference, the information is also presented schematically in Excel spreadsheets available to readers for free download from the publisher’s digital annex. The book is current, concise, and to the point-which is to help managers cut through the technical jargon and make the business decisions required to find, fix, and prevent serious vulnerabilities

[ "['inf']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Manager’s Guide to Web Application Security : A Concise Guide to the Weaker Side of the Web - Document Abstract: The Manager's Guide to Web Application Security is a concise, information-packed guide to application security risks every organization faces, written in plain language, with guidance on how to deal with those issues quickly and effectively. Often, security vulnerabilities are difficult to understand and quantify because they are the result of intricate programming deficiencies and highly technical issues. Author and noted industry expert Ron Lepofsky breaks down the technical barrier and identifies many real-world examples of security vulnerabilities commonly found by IT security auditors, translates them into business risks with identifiable consequences, and provides practical guidance about mitigating them. The Manager's Guide to Web Application Security describes how to fix and prevent these vulnerabilities in easy-to-understand discussions of vulnerability classes and their remediation. For easy reference, the information is also presented schematically in Excel spreadsheets available to readers for free download from the publisher’s digital annex. The book is current, concise, and to the point-which is to help managers cut through the technical jargon and make the business decisions required to find, fix, and prevent serious vulnerabilities - Document LIN Search class: ['inf'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1653671386.jsonld

A Topological Introduction to Nonlinear Analysis

This third edition of A Topological Introduction to Nonlinear Analysis is addressed to the mathematician or graduate student of mathematics - or even the well-prepared undergraduate - who would like, with a minimum of background and preparation, to understand some of the beautiful results at the heart of nonlinear analysis. Based on carefully-expounded ideas from several branches of topology, and illustrated by a wealth of figures that attest to the geometric nature of the exposition, the book will be of immense help in providing its readers with an understanding of the mathematics of the nonlinear phenomena that characterize our real world. For this third edition, several new chapters present the fixed point index and its applications. The exposition and mathematical content is improved throughout. This book is ideal for self-study for mathematicians and students interested in such areas of geometric and algebraic topology, functional analysis, differential equations, and applied mathematics. It is a sharply focused and highly readable view of nonlinear analysis by a practicing topologist who has seen a clear path to understanding. "For the topology-minded reader, the book indeed has a lot to offer: written in a very personal, eloquent and instructive style it makes one of the highlights of nonlinear analysis accessible to a wide audience."-Monatshefte fur Mathematik (2006)

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: A Topological Introduction to Nonlinear Analysis - Document Abstract: This third edition of A Topological Introduction to Nonlinear Analysis is addressed to the mathematician or graduate student of mathematics - or even the well-prepared undergraduate - who would like, with a minimum of background and preparation, to understand some of the beautiful results at the heart of nonlinear analysis. Based on carefully-expounded ideas from several branches of topology, and illustrated by a wealth of figures that attest to the geometric nature of the exposition, the book will be of immense help in providing its readers with an understanding of the mathematics of the nonlinear phenomena that characterize our real world. For this third edition, several new chapters present the fixed point index and its applications. The exposition and mathematical content is improved throughout. This book is ideal for self-study for mathematicians and students interested in such areas of geometric and algebraic topology, functional analysis, differential equations, and applied mathematics. It is a sharply focused and highly readable view of nonlinear analysis by a practicing topologist who has seen a clear path to understanding. "For the topology-minded reader, the book indeed has a lot to offer: written in a very personal, eloquent and instructive style it makes one of the highlights of nonlinear analysis accessible to a wide audience."-Monatshefte fur Mathematik (2006) - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A086116509.jsonld

Women and race in early modern texts

Cover; Half-title; Title; Copyright; Contents; Acknowledgments; Introduction: Women, race, and Renaissance texts; CHAPTER 1 Cleopatra: whiteness and knowledge; CHAPTER 2 Sex, race, and empire in Shakespeare's Antony and Cleopatra; CHAPTER 3 Dido and Sophonisba of Carthage: marriage, race, and the bonds between men; CHAPTER 4 The disappearing African woman: Imoinda in Oroonoko after Behn; CHAPTER 5 Race, women, and the sentimental in Thomas Southerne's Oroonoko; CHAPTER 6 Chaste lines: writing and unwriting race in Katherine Philips' Pompey Discusses the links between women's racial, sexual, and civic identities in early modern texts. Joyce Green MacDonald examines both Renaissance, and Restoration and eighteenth-century plays covering works, by, among others, Shakespeare, Jonson, Davenant, the Countess of Pembroke and Aphra Behn; Geschichte 1380-1730; 1500 - 1699

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Women and race in early modern texts - Document Abstract: Cover; Half-title; Title; Copyright; Contents; Acknowledgments; Introduction: Women, race, and Renaissance texts; CHAPTER 1 Cleopatra: whiteness and knowledge; CHAPTER 2 Sex, race, and empire in Shakespeare's Antony and Cleopatra; CHAPTER 3 Dido and Sophonisba of Carthage: marriage, race, and the bonds between men; CHAPTER 4 The disappearing African woman: Imoinda in Oroonoko after Behn; CHAPTER 5 Race, women, and the sentimental in Thomas Southerne's Oroonoko; CHAPTER 6 Chaste lines: writing and unwriting race in Katherine Philips' Pompey Discusses the links between women's racial, sexual, and civic identities in early modern texts. Joyce Green MacDonald examines both Renaissance, and Restoration and eighteenth-century plays covering works, by, among others, Shakespeare, Jonson, Davenant, the Countess of Pembroke and Aphra Behn; Geschichte 1380-1730; 1500 - 1699 - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A636226034.jsonld

Electronic supply network coordination in intelligent and dynamic environments : modeling and implementation

"This book presents cutting-edge knowledge on scientific approaches to the management of supply networks in a highly informed global environment with abundant dynamic and uncertain challenges"--Provided by publisher

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Electronic supply network coordination in intelligent and dynamic environments : modeling and implementation - Document Abstract: "This book presents cutting-edge knowledge on scientific approaches to the management of supply networks in a highly informed global environment with abundant dynamic and uncertain challenges"--Provided by publisher - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1724783319.jsonld

Food formulation : novel ingredients and processing techniques

"Food products are made by combining food ingredients in specific proportions in a formulation. Research on the effects of various formulations and processes on product qualities is common. However, research is focussed on either the effect of formulation or a novel processing technique on the product characteristics. A comprehensive document understanding the two-way trends in food formulation, its effect on commercialisation of new technologies and impact of new technologies on formulations is not currently unavailable. There are many novel food ingredients and emerging technologies available to process formulations, but optimization of the formulation and manufacturing process are still required. Therefore, novel and healthy ingredients along with increasing requirement of novel processing techniques for clean label food products as well as regulations and legislation to their use formed the premise of this book. There is thus a need to document not only the food ingredients and formulations, but also to know how novel processes that can be exploited industrially"--

[ "['hor']", "['cet']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Food formulation : novel ingredients and processing techniques - Document Abstract: "Food products are made by combining food ingredients in specific proportions in a formulation. Research on the effects of various formulations and processes on product qualities is common. However, research is focussed on either the effect of formulation or a novel processing technique on the product characteristics. A comprehensive document understanding the two-way trends in food formulation, its effect on commercialisation of new technologies and impact of new technologies on formulations is not currently unavailable. There are many novel food ingredients and emerging technologies available to process formulations, but optimization of the formulation and manufacturing process are still required. Therefore, novel and healthy ingredients along with increasing requirement of novel processing techniques for clean label food products as well as regulations and legislation to their use formed the premise of this book. There is thus a need to document not only the food ingredients and formulations, but also to know how novel processes that can be exploited industrially"-- - Document LIN Search class: ['hor'], ['cet'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1670375439.jsonld

Research and development in school : grounded in cultural historical activity theory

"Research and Development in School: Grounded in Cultural Historical Activity Theory intends to give student teachers, teachers and school leaders research knowledge about which methodologies (research approaches) and methods (data collection and analysis methods) they can use as tools when researching the day-to-day affairs of school and classroom practice. Cultural historical activity theory (CHAT) is presented as the framework. When grounded in CHAT the intention of the research will be to produce useful knowledge whether the aim is to promote development when the research is conducted or incoming development processes. The text is useful in connection with CHAT-informed development work research (DWR), where development work and research are combined in a common project, and in connection with on-going practices in school without the person studying them supporting the on-going development work there and then, but with the intention and understanding that the constructed knowledge can be used in subsequent development processes. This book is also useful for teacher educators/researchers who supervise student teachers or collaborate with practitioners in schools. The wish is that CHAT and its models will be able to contribute to the development processes we want to see in school, which in turn will promote the pupils' learning outcome"-- Theoretical perspectives and cultural historical activity theory -- The qualitative method : its historical and theoretical roots and characteristics -- Researcher roles and access to the research field -- Qualitative research approaches and analysis -- Data collection -- Analysing the data material using the constant comparative analysis method and D-analysis -- Quality and ethics -- Writing up the research project.

[ "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Research and development in school : grounded in cultural historical activity theory - Document Abstract: "Research and Development in School: Grounded in Cultural Historical Activity Theory intends to give student teachers, teachers and school leaders research knowledge about which methodologies (research approaches) and methods (data collection and analysis methods) they can use as tools when researching the day-to-day affairs of school and classroom practice. Cultural historical activity theory (CHAT) is presented as the framework. When grounded in CHAT the intention of the research will be to produce useful knowledge whether the aim is to promote development when the research is conducted or incoming development processes. The text is useful in connection with CHAT-informed development work research (DWR), where development work and research are combined in a common project, and in connection with on-going practices in school without the person studying them supporting the on-going development work there and then, but with the intention and understanding that the constructed knowledge can be used in subsequent development processes. This book is also useful for teacher educators/researchers who supervise student teachers or collaborate with practitioners in schools. The wish is that CHAT and its models will be able to contribute to the development processes we want to see in school, which in turn will promote the pupils' learning outcome"-- Theoretical perspectives and cultural historical activity theory -- The qualitative method : its historical and theoretical roots and characteristics -- Researcher roles and access to the research field -- Qualitative research approaches and analysis -- Data collection -- Analysing the data material using the constant comparative analysis method and D-analysis -- Quality and ethics -- Writing up the research project. - Document LIN Search class: ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A868544906.jsonld

China's mobile economy : opportunities in the largest and fastest information consumption boom

Explore the world-changing digital transformation in China China's Mobile Economy: Opportunities in the Largest and Fastest Information Consumption Boom is a cutting-edge text that spotlights the digital transformation in China. Organised into three major areas of the digital economy within China, this ground-breaking book explores the surge in e-commerce of consumer goods, the way in which multi-screen and mobile Internet use has increased in popularity, and the cultural emphasis on the mobile Internet as a source of lifestyle- and entertainment-based content. Targeted at the global business community, this lucid and engaging text guides business leaders, investors, investment banking professionals, corporate advisors, and consultants in grasping the challenges and opportunities created by China's emerging mobile economy, and its debut onto the global stage. Year 2014-15 marks the most important inflection point in the history of the internet in China. Almost overnight, the world’s largest digitally-connected middle class went both mobile and multi-screen (smart phone, tablets, laptops and more), with huge implications for how consumers behave and what companies need to do to successfully compete. As next-generation mobile devices and services take off, China’s strength in this arena will transform it from a global “trend follower” to a “trend setter.” Understand what the digital transformation in China is, and impact on global capital markets, foreign investors, consumer companies, and the global economy as a whole Explore the e-commerce consumption boom in the context of the Chinese market Understand the implications of the multi-screen age and mobile Internet for China's consumers See how mobile Internet use, its focus on lifestyle and entertainment is aligned with today's Chinese culture Learn about the mobile entertainment habits of China’s millennial generation and the corresponding new advertisement approaches The development of China’s mobile economy is one of the most important trends that will reshape the future of business, technology and society both in China and the world. China's Mobile Economy: Opportunities in the Largest and Fastest Information Consumption Boom introduces you to the digital transformation in China, and explains how this transformation has the potential to transform both China and the global consumer landscape. The book will focus on three major areas of the digital economy in China that are, by nature, inter-linked: (a) The boom of e-commerce on consumer goods. Alibaba's online shopping platforms Taobao and Tmall have nearly twice as many active buyers than the U.S. site eBay. It has already disrupted new shopping malls in China, but itself is also being disrupted by the mobile culture and social network. The mobile disruption in China is more thorough than the developed world: immature industries such as retail and logistics will leapfrog straight from the early industrial age to the internet one. (b) The beginning of the multi-screen age and mobile Internet for China consumers. The mobile consumption is growing so rapidly that the shopping malls, a new development in China by itself, have already been disrupted by online-to-offline (O2O) retail consumption. What's more, the growth and positive spillovers go beyond consumer goods sector to services, entertainment, media, finance and even traditional industry sectors. (c) Mobile internet is more about lifestyle and entertainment for China's online community (which tends to be younger than that in the US). The Chinese youth are pouring money into online games, video and music downloading, and virtual goods/ online personas in imaginary worlds. To meet the quest for high quality contents, the tech giants are not only betting on set-top box to convert TV and theatre viewers to online but also creating their own contents; meanwhile, the China market is changing the DNA of Hollywood's blockbuster movie.

[ "['elt']", "['inf']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: China's mobile economy : opportunities in the largest and fastest information consumption boom - Document Abstract: Explore the world-changing digital transformation in China China's Mobile Economy: Opportunities in the Largest and Fastest Information Consumption Boom is a cutting-edge text that spotlights the digital transformation in China. Organised into three major areas of the digital economy within China, this ground-breaking book explores the surge in e-commerce of consumer goods, the way in which multi-screen and mobile Internet use has increased in popularity, and the cultural emphasis on the mobile Internet as a source of lifestyle- and entertainment-based content. Targeted at the global business community, this lucid and engaging text guides business leaders, investors, investment banking professionals, corporate advisors, and consultants in grasping the challenges and opportunities created by China's emerging mobile economy, and its debut onto the global stage. Year 2014-15 marks the most important inflection point in the history of the internet in China. Almost overnight, the world’s largest digitally-connected middle class went both mobile and multi-screen (smart phone, tablets, laptops and more), with huge implications for how consumers behave and what companies need to do to successfully compete. As next-generation mobile devices and services take off, China’s strength in this arena will transform it from a global “trend follower” to a “trend setter.” Understand what the digital transformation in China is, and impact on global capital markets, foreign investors, consumer companies, and the global economy as a whole Explore the e-commerce consumption boom in the context of the Chinese market Understand the implications of the multi-screen age and mobile Internet for China's consumers See how mobile Internet use, its focus on lifestyle and entertainment is aligned with today's Chinese culture Learn about the mobile entertainment habits of China’s millennial generation and the corresponding new advertisement approaches The development of China’s mobile economy is one of the most important trends that will reshape the future of business, technology and society both in China and the world. China's Mobile Economy: Opportunities in the Largest and Fastest Information Consumption Boom introduces you to the digital transformation in China, and explains how this transformation has the potential to transform both China and the global consumer landscape. The book will focus on three major areas of the digital economy in China that are, by nature, inter-linked: (a) The boom of e-commerce on consumer goods. Alibaba's online shopping platforms Taobao and Tmall have nearly twice as many active buyers than the U.S. site eBay. It has already disrupted new shopping malls in China, but itself is also being disrupted by the mobile culture and social network. The mobile disruption in China is more thorough than the developed world: immature industries such as retail and logistics will leapfrog straight from the early industrial age to the internet one. (b) The beginning of the multi-screen age and mobile Internet for China consumers. The mobile consumption is growing so rapidly that the shopping malls, a new development in China by itself, have already been disrupted by online-to-offline (O2O) retail consumption. What's more, the growth and positive spillovers go beyond consumer goods sector to services, entertainment, media, finance and even traditional industry sectors. (c) Mobile internet is more about lifestyle and entertainment for China's online community (which tends to be younger than that in the US). The Chinese youth are pouring money into online games, video and music downloading, and virtual goods/ online personas in imaginary worlds. To meet the quest for high quality contents, the tech giants are not only betting on set-top box to convert TV and theatre viewers to online but also creating their own contents; meanwhile, the China market is changing the DNA of Hollywood's blockbuster movie. - Document LIN Search class: ['elt'], ['inf'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A392893088.jsonld

The economics and management of small business : an international perspective

'Small Business' provides an international perspective on this important topic, and includes many pedagogical features such as questions for discussion, international case studies and empirical research

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The economics and management of small business : an international perspective - Document Abstract: 'Small Business' provides an international perspective on this important topic, and includes many pedagogical features such as questions for discussion, international case studies and empirical research - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1023438364.jsonld

Productivity, innovation, and knowledge in services : new economic and socio-economic approaches

pt. 1. Productivity and performances in services -- pt. 2. Innovation in services and through services Written by some of the most distinguished authors in the field, this book elucidates the critical and complex relationships between services, production and innovation. The authors discuss the limitations of current theories to explain service productivity and innovation, and call for a conceptual re-working of the ways in which these are measured. They also highlight the important role of knowledge in the production system and in doing so make an important contribution to a key debate which has emerged in the social sciences in recent years

[ "['oek']", "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Productivity, innovation, and knowledge in services : new economic and socio-economic approaches - Document Abstract: pt. 1. Productivity and performances in services -- pt. 2. Innovation in services and through services Written by some of the most distinguished authors in the field, this book elucidates the critical and complex relationships between services, production and innovation. The authors discuss the limitations of current theories to explain service productivity and innovation, and call for a conceptual re-working of the ways in which these are measured. They also highlight the important role of knowledge in the production system and in doing so make an important contribution to a key debate which has emerged in the social sciences in recent years - Document LIN Search class: ['oek'], ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A490338348.jsonld

Fostering public-private partnership for innovation in Russia

The engines of economic growth in Russia remain concentrated in industries dependent on exports of raw commodities. To achieve sustainable long-term growth, Russia needs to diversify its economic activities, and boosting innovation needs to be a central objective of the diversification. This book assesses the strengths and weaknesses of the Russian innovation system and formulates concrete policy recommendations with a focus on public-private partnerships.--Publisher's description

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Fostering public-private partnership for innovation in Russia - Document Abstract: The engines of economic growth in Russia remain concentrated in industries dependent on exports of raw commodities. To achieve sustainable long-term growth, Russia needs to diversify its economic activities, and boosting innovation needs to be a central objective of the diversification. This book assesses the strengths and weaknesses of the Russian innovation system and formulates concrete policy recommendations with a focus on public-private partnerships.--Publisher's description - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A49892761X.jsonld

Saving social security : a balanced approach

A brief overview of Social Security -- Goals for Social Security reform -- Social Security's long-term deficit -- A three-part plan to shore up Social Security -- Strengthening Social Security's effectiveness as social insurance -- Implications for benefits and revenue -- Individual accounts -- Questions and answers about our balanced reform plan -- Conclusions -- Appendixes: A. Social Security and national saving -- B. Trends in retirement age -- C. How the legacy debt arose: A simplified example -- D. Characteristics of tax-favored defined-contribution plans -- E. Should the trust fund invest in the stock market? -- F. Comparisons with models 2 and 3 of the President's Commission -- G. Memorandum from the Office of the Chief Actuary -- H. Long-term analysis of the Diamond-Orszag Social Security plan

[ "['sow']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Saving social security : a balanced approach - Document Abstract: A brief overview of Social Security -- Goals for Social Security reform -- Social Security's long-term deficit -- A three-part plan to shore up Social Security -- Strengthening Social Security's effectiveness as social insurance -- Implications for benefits and revenue -- Individual accounts -- Questions and answers about our balanced reform plan -- Conclusions -- Appendixes: A. Social Security and national saving -- B. Trends in retirement age -- C. How the legacy debt arose: A simplified example -- D. Characteristics of tax-favored defined-contribution plans -- E. Should the trust fund invest in the stock market? -- F. Comparisons with models 2 and 3 of the President's Commission -- G. Memorandum from the Office of the Chief Actuary -- H. Long-term analysis of the Diamond-Orszag Social Security plan - Document LIN Search class: ['sow'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A771874545.jsonld

Exam Ref 70-331 : core solutions of Microsoft SharePoint Server 2013

Provides exam objectives, what-if scenarios, and tips needed for experienced IT professionals to pass the Microsoft SharePoint Server 70-331 exam for Microsoft certification

[ "['inf']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Exam Ref 70-331 : core solutions of Microsoft SharePoint Server 2013 - Document Abstract: Provides exam objectives, what-if scenarios, and tips needed for experienced IT professionals to pass the Microsoft SharePoint Server 70-331 exam for Microsoft certification - Document LIN Search class: ['inf'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A531718190.jsonld

Child welfare research : advances for practice and policy

Epidemiology of child maltreatment / Nico Trocmé -- Informing child welfare : the promise and limits of empirical research / Leroy H. Pelton -- Providing more effective, ethical services : the philosophy and process of evidence-based (-informed) practice / Eileen Gambrill -- How do we know what works? : the quality of published reviews of evidence-based practices / Julia H. Littell -- The influence of an adoption experiment on social policy / Trudy Festinger -- New permanency strategies for children in foster care / Mark Testa -- The transition to adulthood among youth "aging out" of care : what have we learned? / Amy Dworsky -- Moving restorative justice interventions into domestic violence treatment / Colleen Friend -- A descriptive study of intimate partner violence and child maltreatment : implications for child welfare policy / Lynette M. Renner, Kristen Shook Slack, Lawrence M. Berger -- Decision making in child welfare : constraints and potentials / Eileen Gambrill -- Lessons from research on decision-making / Eileen Munro -- Assessing risk throughout the life of a child welfare case / Judith S. Rycus, Ronald C. Hughes -- Improving social work through the use of technology and advanced research methods / Ira M. Schwartz ... [et al.] -- The future of child protection revisited / Jane Waldfogel -- The implementation of market-based child welfare innovations / William Meezan, Bowen McBeath -- Self-evaluation : using data to guide policy and practice in public child welfare agencies / Daniel Webster ... [et al.] -- Comparing welfare and child welfare populations : an argument for rethinking the safety net / Mark E. Courtney ... [et al.] -- Promoting child well-being through early intervention : findings from the Chicago Longitudinal Study / Arthur J. Reynolds, Joshua Mersky -- Heeding Horton : transcending the public welfare paradigm / David Stoesz -- Accounts at birth : a proposal to improve life chances through a national system of children's savings accounts / Reid Cramer -- Beyond child welfare : international perspectives on child and family policies / Sheila. B. Kamerman, Alfred J. Kahn -- The effect of children on the income status of female-headed households : an intercountry comparison / Martha N. Ozawa, Yongwoo Lee

[ "['sow']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Child welfare research : advances for practice and policy - Document Abstract: Epidemiology of child maltreatment / Nico Trocmé -- Informing child welfare : the promise and limits of empirical research / Leroy H. Pelton -- Providing more effective, ethical services : the philosophy and process of evidence-based (-informed) practice / Eileen Gambrill -- How do we know what works? : the quality of published reviews of evidence-based practices / Julia H. Littell -- The influence of an adoption experiment on social policy / Trudy Festinger -- New permanency strategies for children in foster care / Mark Testa -- The transition to adulthood among youth "aging out" of care : what have we learned? / Amy Dworsky -- Moving restorative justice interventions into domestic violence treatment / Colleen Friend -- A descriptive study of intimate partner violence and child maltreatment : implications for child welfare policy / Lynette M. Renner, Kristen Shook Slack, Lawrence M. Berger -- Decision making in child welfare : constraints and potentials / Eileen Gambrill -- Lessons from research on decision-making / Eileen Munro -- Assessing risk throughout the life of a child welfare case / Judith S. Rycus, Ronald C. Hughes -- Improving social work through the use of technology and advanced research methods / Ira M. Schwartz ... [et al.] -- The future of child protection revisited / Jane Waldfogel -- The implementation of market-based child welfare innovations / William Meezan, Bowen McBeath -- Self-evaluation : using data to guide policy and practice in public child welfare agencies / Daniel Webster ... [et al.] -- Comparing welfare and child welfare populations : an argument for rethinking the safety net / Mark E. Courtney ... [et al.] -- Promoting child well-being through early intervention : findings from the Chicago Longitudinal Study / Arthur J. Reynolds, Joshua Mersky -- Heeding Horton : transcending the public welfare paradigm / David Stoesz -- Accounts at birth : a proposal to improve life chances through a national system of children's savings accounts / Reid Cramer -- Beyond child welfare : international perspectives on child and family policies / Sheila. B. Kamerman, Alfred J. Kahn -- The effect of children on the income status of female-headed households : an intercountry comparison / Martha N. Ozawa, Yongwoo Lee - Document LIN Search class: ['sow'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1652958622.jsonld

Stochastic Processes : From Physics to Finance

This book introduces the theory of stochastic processes with applications taken from physics and finance. Fundamental concepts like the random walk or Brownian motion but also Levy-stable distributions are discussed. Applications are selected to show the interdisciplinary character of the concepts and methods. In the second edition of the book a discussion of extreme events ranging from their mathematical definition to their importance for financial crashes was included. The exposition of basic notions of probability theory and the Brownian motion problem as well as the relation between conservative diffusion processes and quantum mechanics is expanded. The second edition also enlarges the treatment of financial markets. Beyond a presentation of geometric Brownian motion and the Black-Scholes approach to option pricing as well as the econophysics analysis of the stylized facts of financial markets, an introduction to agent based modeling approaches is given

[ "['mat']", "['oek']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Stochastic Processes : From Physics to Finance - Document Abstract: This book introduces the theory of stochastic processes with applications taken from physics and finance. Fundamental concepts like the random walk or Brownian motion but also Levy-stable distributions are discussed. Applications are selected to show the interdisciplinary character of the concepts and methods. In the second edition of the book a discussion of extreme events ranging from their mathematical definition to their importance for financial crashes was included. The exposition of basic notions of probability theory and the Brownian motion problem as well as the relation between conservative diffusion processes and quantum mechanics is expanded. The second edition also enlarges the treatment of financial markets. Beyond a presentation of geometric Brownian motion and the Black-Scholes approach to option pricing as well as the econophysics analysis of the stylized facts of financial markets, an introduction to agent based modeling approaches is given - Document LIN Search class: ['mat'], ['oek'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1767638671.jsonld

Accounting information systems

For one-semester undergraduate or graduate courses in accounting information systems. A market-leading text with the most comprehensive, flexible coverage of AIS available Accounting Information Systems delivers the most unprecedented coverage of each major approach to teaching AIS, giving instructors the opportunity to reorder chapters and focus the material to suit their individual course needs. The 15th Edition, Global Edition covers all of the most recent updates in AIS, including how developments in IT affect business processes and controls, the effect of recent regulatory developments on the design and operation of accounting systems, and how accountants can use AIS to add value to an organization. Not only will students see how AIS has changed the role of an accountant, but they ll also be prepared for a successful accounting career in public practice, industry, or government. Available separately for purchase is Revel, an interactive learning environment designed to boost students understanding, retention, and preparedness for class. The integration of course content with interactive assessment creates one continuous learning experience anytime, anywhere, and on any device

[ "['oek']", "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Accounting information systems - Document Abstract: For one-semester undergraduate or graduate courses in accounting information systems. A market-leading text with the most comprehensive, flexible coverage of AIS available Accounting Information Systems delivers the most unprecedented coverage of each major approach to teaching AIS, giving instructors the opportunity to reorder chapters and focus the material to suit their individual course needs. The 15th Edition, Global Edition covers all of the most recent updates in AIS, including how developments in IT affect business processes and controls, the effect of recent regulatory developments on the design and operation of accounting systems, and how accountants can use AIS to add value to an organization. Not only will students see how AIS has changed the role of an accountant, but they ll also be prepared for a successful accounting career in public practice, industry, or government. Available separately for purchase is Revel, an interactive learning environment designed to boost students understanding, retention, and preparedness for class. The integration of course content with interactive assessment creates one continuous learning experience anytime, anywhere, and on any device - Document LIN Search class: ['oek'], ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A729658864.jsonld

Principles of health interoperability HL7 and SNOMED

The health information revolution -- Why interoperability is hard -- Models -- UML and XML -- Privacy -- Standards development organizations -- HL7 version 2 -- The HL7 V3 RIM -- Constrained information models -- Clinical document architecture -- HL7 dynamic model -- IHE XDS -- Clinical terminology -- Coding and classification schemes -- SNOMED CT -- SNOMED CT concept model -- Using SNOMED and HL7 together

[ "['meda']", "['mat']", "['inf']", "['med']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Principles of health interoperability HL7 and SNOMED - Document Abstract: The health information revolution -- Why interoperability is hard -- Models -- UML and XML -- Privacy -- Standards development organizations -- HL7 version 2 -- The HL7 V3 RIM -- Constrained information models -- Clinical document architecture -- HL7 dynamic model -- IHE XDS -- Clinical terminology -- Coding and classification schemes -- SNOMED CT -- SNOMED CT concept model -- Using SNOMED and HL7 together - Document LIN Search class: ['meda'], ['mat'], ['inf'], ['med'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1613617062.jsonld

European Union : power and policy-making

"European Union: Power and Policy-Making 4th edition offers a comprehensive and accessible introduction to the European Union. Aimed at advanced undergraduate and postgraduate students, its primary goal is to advance understanding of the European integration process in terms of the EU as a maturing and ongoing policy system. Written by a distinguished group of internationally recognised researchers, this new edition has been significantly improved to make it even more clear and concise. With an aim to stimulating students' interest, this book addresses some of the more contentious areas whilst also continuing to cover the vital elements of EU courses including: Theoretical and historical perspectives The roles of the key institutions in the processing of policy issues Different channels of representation The EU as a supranational 'state' European Union: Power and Policy-Making is a key textbook for students of the European Union and contemporary European politics"--

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: European Union : power and policy-making - Document Abstract: "European Union: Power and Policy-Making 4th edition offers a comprehensive and accessible introduction to the European Union. Aimed at advanced undergraduate and postgraduate students, its primary goal is to advance understanding of the European integration process in terms of the EU as a maturing and ongoing policy system. Written by a distinguished group of internationally recognised researchers, this new edition has been significantly improved to make it even more clear and concise. With an aim to stimulating students' interest, this book addresses some of the more contentious areas whilst also continuing to cover the vital elements of EU courses including: Theoretical and historical perspectives The roles of the key institutions in the processing of policy issues Different channels of representation The EU as a supranational 'state' European Union: Power and Policy-Making is a key textbook for students of the European Union and contemporary European politics"-- - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1022444190.jsonld

The Virago story : assessing the impact of a feminist publishing phenomenon

"The 1970s witnessed a renaissance in women's print culture, as feminist presses and bookshops sprang up in the wake of the second-wave women's movement. At four decades' remove from that heady era, however, the landscape looks dramatically different, with only one press from the period still active in contemporary publishing: Virago. This engaging history explains how, from modest beginnings, Virago managed to weather epochal transformations in gender politics, literary culture, and the book publishing business. Drawing on original interviews with many of the press's principal figures, it gives a compelling account of Virago's place in recent women's history while also reflecting on the fraught relationship between activism and commerce"-- Virago's hands-on brand of feminism -- Changing the literary landscape -- 'Alternative, autonomous, and viable' : feminist publishing and the mainstream -- Fragmenting feminism and diversifying women's writing -- Working women and the changing face(s) of the book industry -- Third waves and disconnections -- Virago's place in the new millennium's literary marketplace -- Twenty-first century feminism(s) and Virago's role for women's writing

[ "['lit']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Virago story : assessing the impact of a feminist publishing phenomenon - Document Abstract: "The 1970s witnessed a renaissance in women's print culture, as feminist presses and bookshops sprang up in the wake of the second-wave women's movement. At four decades' remove from that heady era, however, the landscape looks dramatically different, with only one press from the period still active in contemporary publishing: Virago. This engaging history explains how, from modest beginnings, Virago managed to weather epochal transformations in gender politics, literary culture, and the book publishing business. Drawing on original interviews with many of the press's principal figures, it gives a compelling account of Virago's place in recent women's history while also reflecting on the fraught relationship between activism and commerce"-- Virago's hands-on brand of feminism -- Changing the literary landscape -- 'Alternative, autonomous, and viable' : feminist publishing and the mainstream -- Fragmenting feminism and diversifying women's writing -- Working women and the changing face(s) of the book industry -- Third waves and disconnections -- Virago's place in the new millennium's literary marketplace -- Twenty-first century feminism(s) and Virago's role for women's writing - Document LIN Search class: ['lit'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1650104081.jsonld

Homo Novus - A Human Without Illusions

Converging evidence from disciplines including sociobiology, evolutionary psychology and human biology forces us to adopt a new idea of what it means to be a human. As cherished concepts such as free will, naïve realism, humans as creation`s crowning glory fall and our moral roots in ape group dynamics become clearer, we have to take leave of many concepts that have been central to defining our humanness. What emerges is a new human, the homo novus, a human being without illusions. Leading authors from many different fields explore these issues by addressing a range of illusions and providing evidence for the need, despite considerable reluctance, to relinquish some of our most cherished ideas about ourselves. TOC:1 Introduction.- PART I Humans Are Exceptional.- 2 The Position of Man in the Cosmos.- 3 Living Differences.- 4 Nothing to Talk About.- PART II We Are Independent of Our Sociobiological Roots.- 5 The True Egoist Is Cooperative.- 6 The Social Brain and Its Implications.- 7 Why Most Theories Get ItWrong.- PART III The Biological Imperative Doesn`t Matter to Us.- 8 Mortality Crises and Their Consequences for Human Life Histories.- 9 Costs and Consequences of Reproduction.- 10 Height and Reproductive Success.- PART IV The Past Doesn`t Echo in Our Heads.- 11 Developmental Psychology Without Dualistic Illusions.- 12 The Psychology of Families.- 13 Moral Normativity Is (Naturally) Grown.- 14 The Origins of Symbolic Culture.- 15 Belief in Melanesia.- PART V We Are Free inWhat WeWant.- 16 Free Will.- 17 Could I Have Done Otherwise?- PART VI Epilogue.- 18 Modern Illusions of Humankind.

[ "['phi']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Homo Novus - A Human Without Illusions - Document Abstract: Converging evidence from disciplines including sociobiology, evolutionary psychology and human biology forces us to adopt a new idea of what it means to be a human. As cherished concepts such as free will, naïve realism, humans as creation`s crowning glory fall and our moral roots in ape group dynamics become clearer, we have to take leave of many concepts that have been central to defining our humanness. What emerges is a new human, the homo novus, a human being without illusions. Leading authors from many different fields explore these issues by addressing a range of illusions and providing evidence for the need, despite considerable reluctance, to relinquish some of our most cherished ideas about ourselves. TOC:1 Introduction.- PART I Humans Are Exceptional.- 2 The Position of Man in the Cosmos.- 3 Living Differences.- 4 Nothing to Talk About.- PART II We Are Independent of Our Sociobiological Roots.- 5 The True Egoist Is Cooperative.- 6 The Social Brain and Its Implications.- 7 Why Most Theories Get ItWrong.- PART III The Biological Imperative Doesn`t Matter to Us.- 8 Mortality Crises and Their Consequences for Human Life Histories.- 9 Costs and Consequences of Reproduction.- 10 Height and Reproductive Success.- PART IV The Past Doesn`t Echo in Our Heads.- 11 Developmental Psychology Without Dualistic Illusions.- 12 The Psychology of Families.- 13 Moral Normativity Is (Naturally) Grown.- 14 The Origins of Symbolic Culture.- 15 Belief in Melanesia.- PART V We Are Free inWhat WeWant.- 16 Free Will.- 17 Could I Have Done Otherwise?- PART VI Epilogue.- 18 Modern Illusions of Humankind. - Document LIN Search class: ['phi'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A723686629.jsonld

Social causes of health and disease

In this stimulating book, William C. Cockerham, a leading medical sociologist, assesses the evidence that social factors (such as stress, poverty, unhealthy lifestyles, and unpleasant living and work conditions) have direct causal effects on health and many diseases. This engaging text will be indispensable reading for all students and scholars of medical sociology, especially those with the courage to confront the possibility that society really does make people sick

[ "['meda']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Social causes of health and disease - Document Abstract: In this stimulating book, William C. Cockerham, a leading medical sociologist, assesses the evidence that social factors (such as stress, poverty, unhealthy lifestyles, and unpleasant living and work conditions) have direct causal effects on health and many diseases. This engaging text will be indispensable reading for all students and scholars of medical sociology, especially those with the courage to confront the possibility that society really does make people sick - Document LIN Search class: ['meda'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1648336213.jsonld

How Regions Grow : Trends and Analysis

Regional differences within OECD countries are often greater than those between countries and much inequality remains. This report explores what generates growth at the regional level. Based on in-depth econometric modelling and analyses, this report reframes the debate on regional policy and development, emphasising that opportunities for growth exist in all regions.

[ "['oek']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: How Regions Grow : Trends and Analysis - Document Abstract: Regional differences within OECD countries are often greater than those between countries and much inequality remains. This report explores what generates growth at the regional level. Based on in-depth econometric modelling and analyses, this report reframes the debate on regional policy and development, emphasising that opportunities for growth exist in all regions. - Document LIN Search class: ['oek'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1725812002.jsonld

Security and trust issues in Internet of Things : blockchain to the rescue

"Title: Security and Trust Issues in Internet of Things: Blockchain to the Rescue The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and Blockchain. The trend of applying Blockchain to IoT is rapidly growing because it helps to overcome various challenges faced by IoT from smart manufacturing to unmanned aerial vehicles. The book aims to showcase the basics of both IoT and Blockchain as well as the integration and challenges for existing practitioners. The book initiates conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems. The book is theoretical based and is useful for engineers from various disciplines including industrial engineering, computer science, electronics, telecommunications, electrical, agricultural, cyber security, along with researchers, professionals, and students. Shelving Guide: Manufacturing and Industrial Engineering"--

[ "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Security and trust issues in Internet of Things : blockchain to the rescue - Document Abstract: "Title: Security and Trust Issues in Internet of Things: Blockchain to the Rescue The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and Blockchain. The trend of applying Blockchain to IoT is rapidly growing because it helps to overcome various challenges faced by IoT from smart manufacturing to unmanned aerial vehicles. The book aims to showcase the basics of both IoT and Blockchain as well as the integration and challenges for existing practitioners. The book initiates conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems. The book is theoretical based and is useful for engineers from various disciplines including industrial engineering, computer science, electronics, telecommunications, electrical, agricultural, cyber security, along with researchers, professionals, and students. Shelving Guide: Manufacturing and Industrial Engineering"-- - Document LIN Search class: ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A164674862X.jsonld

Anorectal Malformations in Children : Embryology, Diagnosis, Surgical Treatment, Follow-up

The revised 4th edition of this classic textbook represents an international consensus in understanding and treating anorectal malformations. New topics include tethered cord, vaginal reconstruction, continent catheterizable channels, and the impact on family studies by parents' organizations. Special attention is given to new surgical techniques: posterior sagittal anorectal plasty (PSARP), urogenital sinue advancement, and laparoscopy. Includes the results of a recent conference. Anorectal Malformations in Children represents an international consensus in understanding and treating anorectal malformations. Interesting new topics include tethered cord, vaginal reconstruction, continent catherizable channels, and the impact on family studies by parents' organizations. The book not only carries on from the three previous editions by Douglas Stephens and Durham Smith (1963, 1971, and 1988) but assembles many new aspects in the broad field of anorectal and genitourinary malformations. Special attention is given to the new surgical techniques posterior sagittal anorectal plasty (PSARP), urogenital sinue advancement, and laparoscopy. A CD-ROM showing the laparoscopic pullthrough procedure is included. It also presents for the first time a series of autopsies performed by Stephens in the 1960s in children with imperforate anus, demonstrating the individual histological anatomy of each malformation. The results of an international workshop of 26 international authorities on congenital malformations of the organs of the pelvis and perineum are presented. The new classification proposed at the Krickenberg Conference will enable future studies comparing the types and the results of treatment of anorectal malformations. The book is an invaluable reference for all medical authorities with a special interest in anorectal and genitourinary malformations.

[ "['meda']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Anorectal Malformations in Children : Embryology, Diagnosis, Surgical Treatment, Follow-up - Document Abstract: The revised 4th edition of this classic textbook represents an international consensus in understanding and treating anorectal malformations. New topics include tethered cord, vaginal reconstruction, continent catheterizable channels, and the impact on family studies by parents' organizations. Special attention is given to new surgical techniques: posterior sagittal anorectal plasty (PSARP), urogenital sinue advancement, and laparoscopy. Includes the results of a recent conference. Anorectal Malformations in Children represents an international consensus in understanding and treating anorectal malformations. Interesting new topics include tethered cord, vaginal reconstruction, continent catherizable channels, and the impact on family studies by parents' organizations. The book not only carries on from the three previous editions by Douglas Stephens and Durham Smith (1963, 1971, and 1988) but assembles many new aspects in the broad field of anorectal and genitourinary malformations. Special attention is given to the new surgical techniques posterior sagittal anorectal plasty (PSARP), urogenital sinue advancement, and laparoscopy. A CD-ROM showing the laparoscopic pullthrough procedure is included. It also presents for the first time a series of autopsies performed by Stephens in the 1960s in children with imperforate anus, demonstrating the individual histological anatomy of each malformation. The results of an international workshop of 26 international authorities on congenital malformations of the organs of the pelvis and perineum are presented. The new classification proposed at the Krickenberg Conference will enable future studies comparing the types and the results of treatment of anorectal malformations. The book is an invaluable reference for all medical authorities with a special interest in anorectal and genitourinary malformations. - Document LIN Search class: ['meda'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655095110.jsonld

Spectral Theory of Banach Space Operators : Ck-classification, abstract Volterra operators, similarity, spectrality, local spectral analysis

Operational calculus -- Examples -- First reduction -- Second reduction -- Volterra elements -- The family S+?V -- Convolution operators in Lp -- Some regular semigroups -- Similarity -- Spectral analysis -- The family S+?V, S unbounded -- Similarity (continued) -- Singular Cn-operators -- Local analysis.

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Spectral Theory of Banach Space Operators : Ck-classification, abstract Volterra operators, similarity, spectrality, local spectral analysis - Document Abstract: Operational calculus -- Examples -- First reduction -- Second reduction -- Volterra elements -- The family S+?V -- Convolution operators in Lp -- Some regular semigroups -- Similarity -- Spectral analysis -- The family S+?V, S unbounded -- Similarity (continued) -- Singular Cn-operators -- Local analysis. - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1619577755.jsonld

Deviations : a Gayle Rubin reader

"The traffic in women : notes on the "Political economy" of sex" (1975) -- The trouble with trafficking : afterthoughts on "The traffic in women." (2010) -- "Introduction" to A woman appeared to me, by Renee Vivien. (1976) -- "The leather menace" (1982) -- "Thinking sex" (1984) -- "Afterword to Thinking sex" (1993) -- "Postscript to Thinking sex" (1993) -- "Blood under the bridge : reflections on Thinking sex" (2010) -- "The catacombs : a temple of the butthole" (1991) -- "Of catamites and kings : reflections on butch, gender, and boundaries" (1992) -- "Misguided, dangerous, and wrong : an analysis of anti-pornography politics" (1993) -- Interview "Sexual traffic," with Judith Butler (1995) -- "Studying sexual subcultures : the ethnography of gay communities in urban North America" -- "Geologies of queer studies : it's deja vu all over again" (2004)

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Deviations : a Gayle Rubin reader - Document Abstract: "The traffic in women : notes on the "Political economy" of sex" (1975) -- The trouble with trafficking : afterthoughts on "The traffic in women." (2010) -- "Introduction" to A woman appeared to me, by Renee Vivien. (1976) -- "The leather menace" (1982) -- "Thinking sex" (1984) -- "Afterword to Thinking sex" (1993) -- "Postscript to Thinking sex" (1993) -- "Blood under the bridge : reflections on Thinking sex" (2010) -- "The catacombs : a temple of the butthole" (1991) -- "Of catamites and kings : reflections on butch, gender, and boundaries" (1992) -- "Misguided, dangerous, and wrong : an analysis of anti-pornography politics" (1993) -- Interview "Sexual traffic," with Judith Butler (1995) -- "Studying sexual subcultures : the ethnography of gay communities in urban North America" -- "Geologies of queer studies : it's deja vu all over again" (2004) - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1067585737.jsonld

Digital classical philology : ancient Greek and Latin in the digital revolution

Frontmatter -- Editor's Preface / Schüller-Zwierlein, André -- Preface / Crane, Gregory R. -- Contents -- Introduction -- Open Data of Greek and Latin Sources -- The Free First Thousand Years of Greek / Muellner, Leonard -- The Digital Latin Library: Cataloging and Publishing Critical Editions of Latin Texts / Huskey, Samuel J. -- Sustaining Linked Ancient World Data / Cayless, Hugh A. -- Cataloging and Citing Greek and Latin Authors and Works -- The Perseus Catalog: of FRBR, Finding Aids, Linked Data, and Open Greek and Latin / Babeu, Alison -- The CITE Architecture: a Conceptual and Practical Overview / Blackwell, Christopher W. / Smith, Neel -- The Canonical Text Services in Classics and Beyond / Tiepmar, Jochen / Heyer, Gerhard -- Data Entry, Collection, and Analysis for Classical Philology -- Optical Character Recognition for Classical Philology / Robertson, Bruce -- Character Encoding of Classical Languages / Tauber, James K. -- Building a Text Analysis Pipeline for Classical Languages / Burns, Patrick J. -- Intertextuality as Viral Phrases: Roses and Lilies / Coffee, Neil -- Critical Editing and Annotating Greek and Latin Sources -- Digital Classical Philology and the Critical Apparatus / Fischer, Franz -- eComparatio - a Software Tool for Automatic Text Comparison / Bräckel, Oliver / Kahl, Hannes / Meins, Friedrich / Schubert, Charlotte -- The Homer Multitext within the History of Access to Homeric Epic / Dué, Casey / Ebbott, Mary -- Historical Fragmentary Texts in the Digital Age / Berti, Monica -- Linguistic Annotation and Lexical Databases for Greek and Latin -- The Dependency Treebanks for Ancient Greek and Latin / Celano, Giuseppe G.A. -- The Project of the Index Thomisticus Treebank / Passarotti, Marco -- Semantic Analysis and Thematic Annotation / Boschetti, Federico -- Notes on Contributors -- Index Thanks to the digital revolution, even a traditional discipline like philology has been enjoying a renaissance within academia and beyond. Decades of work have been producing groundbreaking results, raising new research questions and creating innovative educational resources. This book describes the rapidly developing state of the art of digital philology with a focus on Ancient Greek and Latin, the classical languages of Western culture. Contributions cover a wide range of topics about the accessibility and analysis of Greek and Latin sources. The discussion is organized in five sections concerning open data of Greek and Latin texts; catalogs and citations of authors and works; data entry, collection and analysis for classical philology; critical editions and annotations of sources; and finally linguistic annotations and lexical databases. As a whole, the volume provides a comprehensive outline of an emergent research field for a new generation of scholars and students, explaining what is reachable and analyzable that was not before in terms of technology and accessibility

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Digital classical philology : ancient Greek and Latin in the digital revolution - Document Abstract: Frontmatter -- Editor's Preface / Schüller-Zwierlein, André -- Preface / Crane, Gregory R. -- Contents -- Introduction -- Open Data of Greek and Latin Sources -- The Free First Thousand Years of Greek / Muellner, Leonard -- The Digital Latin Library: Cataloging and Publishing Critical Editions of Latin Texts / Huskey, Samuel J. -- Sustaining Linked Ancient World Data / Cayless, Hugh A. -- Cataloging and Citing Greek and Latin Authors and Works -- The Perseus Catalog: of FRBR, Finding Aids, Linked Data, and Open Greek and Latin / Babeu, Alison -- The CITE Architecture: a Conceptual and Practical Overview / Blackwell, Christopher W. / Smith, Neel -- The Canonical Text Services in Classics and Beyond / Tiepmar, Jochen / Heyer, Gerhard -- Data Entry, Collection, and Analysis for Classical Philology -- Optical Character Recognition for Classical Philology / Robertson, Bruce -- Character Encoding of Classical Languages / Tauber, James K. -- Building a Text Analysis Pipeline for Classical Languages / Burns, Patrick J. -- Intertextuality as Viral Phrases: Roses and Lilies / Coffee, Neil -- Critical Editing and Annotating Greek and Latin Sources -- Digital Classical Philology and the Critical Apparatus / Fischer, Franz -- eComparatio - a Software Tool for Automatic Text Comparison / Bräckel, Oliver / Kahl, Hannes / Meins, Friedrich / Schubert, Charlotte -- The Homer Multitext within the History of Access to Homeric Epic / Dué, Casey / Ebbott, Mary -- Historical Fragmentary Texts in the Digital Age / Berti, Monica -- Linguistic Annotation and Lexical Databases for Greek and Latin -- The Dependency Treebanks for Ancient Greek and Latin / Celano, Giuseppe G.A. -- The Project of the Index Thomisticus Treebank / Passarotti, Marco -- Semantic Analysis and Thematic Annotation / Boschetti, Federico -- Notes on Contributors -- Index Thanks to the digital revolution, even a traditional discipline like philology has been enjoying a renaissance within academia and beyond. Decades of work have been producing groundbreaking results, raising new research questions and creating innovative educational resources. This book describes the rapidly developing state of the art of digital philology with a focus on Ancient Greek and Latin, the classical languages of Western culture. Contributions cover a wide range of topics about the accessibility and analysis of Greek and Latin sources. The discussion is organized in five sections concerning open data of Greek and Latin texts; catalogs and citations of authors and works; data entry, collection and analysis for classical philology; critical editions and annotations of sources; and finally linguistic annotations and lexical databases. As a whole, the volume provides a comprehensive outline of an emergent research field for a new generation of scholars and students, explaining what is reachable and analyzable that was not before in terms of technology and accessibility - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1763810445.jsonld

Research methods in linguistic anthropology

"For research in linguistic anthropology, the successful design and execution of research projects is a challenging but essential task. Balancing research design with data collection methods, this is the first textbook to guide readers through the key issues and principles of the core research methods in linguistic anthropology. Designed for students conducting research projects for the first time, or for researchers in need of a primer on key methodologies, this book provides clear introductions to key concepts, accessible discussions of theory and practice through illustrative examples, and critical engagement with current debates. Topics covered include creating and refining research questions; planning research projects; ethical considerations for research; quantitative and qualitative data collection methods; data processing; analysing and presenting research data; and how to write a successful grant application. Each chapter is further illustrated by cases studies which showcase methods in practice, and are supported by a range of pedagogical tools, including activities and exercises, discussion questions, and further reading lists. Research Methods in Linguistic Anthropology is an essential resource for both experienced and novice linguistic anthropologists and is a valuable textbook for research methods courses"--

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Research methods in linguistic anthropology - Document Abstract: "For research in linguistic anthropology, the successful design and execution of research projects is a challenging but essential task. Balancing research design with data collection methods, this is the first textbook to guide readers through the key issues and principles of the core research methods in linguistic anthropology. Designed for students conducting research projects for the first time, or for researchers in need of a primer on key methodologies, this book provides clear introductions to key concepts, accessible discussions of theory and practice through illustrative examples, and critical engagement with current debates. Topics covered include creating and refining research questions; planning research projects; ethical considerations for research; quantitative and qualitative data collection methods; data processing; analysing and presenting research data; and how to write a successful grant application. Each chapter is further illustrated by cases studies which showcase methods in practice, and are supported by a range of pedagogical tools, including activities and exercises, discussion questions, and further reading lists. Research Methods in Linguistic Anthropology is an essential resource for both experienced and novice linguistic anthropologists and is a valuable textbook for research methods courses"-- - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1763810682.jsonld

Religious freedom: social-scientific approaches

"This volume offers original research on religious freedom from around the globe. Individual chapters address the issues related to defining and understanding the concept of religious freedom and incorporate sociological thinking into interdisciplinary analysis of this topic. By interpreting legal cases, analyzing cross-national data, interviewing policy-makers, and reviewing policy-papers concerning religious freedom, the authors highlight the necessity of sociology engaging with other disciplines in this type of research. By applying theories of religious pluralism, secularity, secularization, judicialization of religion, "lived religion", total institutions, and others, this volume contributes theoretical perspectives, sociological concepts and empirical analyses that highlight the development of religious freedom as an area of study in the social sciences. Contributors are: Zaheeda P. Alibhai, Chrysa Almpani, Olga Breskaya, Anindita Chakrabarti, Lukáš Dirga, Roger Finke, Giuseppe Giordan, Kerby Goff, Anna Grasso, Nuran E. Işık, Dane R. Mataic, Efe Peker, Alexandros Sakellariou, Guillaume Silhol, Jan Váně, Barbara R. Walters"-- Introduction: Religious freedom : social-scientific approaches / Olga Breskaya, Roger Finke, and Giuseppe Tiordan -- How does secularity "travel"? : toward a policy mobilities approach in the study of religious freedom / Efe Peker -- Religious freedom, legal activism and Muslim personal law in contemporary India : a sociological exploration of secularism / Anindita Chakrabarti -- Religious freedom and secularism in post-revolutionary Tunisia / Anna Grasso -- Religious pluralism, religious freedom and the secularization process in the Greek educational system / Alexandraos Sakellariou -- Regulating sincerity : religion, law, public policy, and the ambivalence of religious freedom in pluralist societies / Zaheeda P. Alibhai -- The religionization in Alevi culture : an exploratory study on spiritual leaders (Dedes) / Nuran Erol Işuk -- One, many or none : religious truth-claims and social perception of religious freedom / Olga Breskaya and Giuseppe Giordan -- Religious freedom in prisons : a case study from the Czech Republic / Jan Váně and Lukáš Dirga -- Organizations and religious restrictions : an international overview of the intersection of state and non-governmental organizations and religious groups / Dane R. Mataic and Kerby Goff -- Religious freedom between politics and policies : social and legal conflicts over Catholic religious education in Italy, 1984-1992 / Guillaume Silhol -- The measure of Cedaw : religion, religious freedom, and the rights of women / Barbara R. Walters -- Religious freedom and religionization of world politics : viewed of EU political and religious representatives / Chrysa K. Almpani.

[ "['rel']", "['jur']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Religious freedom: social-scientific approaches - Document Abstract: "This volume offers original research on religious freedom from around the globe. Individual chapters address the issues related to defining and understanding the concept of religious freedom and incorporate sociological thinking into interdisciplinary analysis of this topic. By interpreting legal cases, analyzing cross-national data, interviewing policy-makers, and reviewing policy-papers concerning religious freedom, the authors highlight the necessity of sociology engaging with other disciplines in this type of research. By applying theories of religious pluralism, secularity, secularization, judicialization of religion, "lived religion", total institutions, and others, this volume contributes theoretical perspectives, sociological concepts and empirical analyses that highlight the development of religious freedom as an area of study in the social sciences. Contributors are: Zaheeda P. Alibhai, Chrysa Almpani, Olga Breskaya, Anindita Chakrabarti, Lukáš Dirga, Roger Finke, Giuseppe Giordan, Kerby Goff, Anna Grasso, Nuran E. Işık, Dane R. Mataic, Efe Peker, Alexandros Sakellariou, Guillaume Silhol, Jan Váně, Barbara R. Walters"-- Introduction: Religious freedom : social-scientific approaches / Olga Breskaya, Roger Finke, and Giuseppe Tiordan -- How does secularity "travel"? : toward a policy mobilities approach in the study of religious freedom / Efe Peker -- Religious freedom, legal activism and Muslim personal law in contemporary India : a sociological exploration of secularism / Anindita Chakrabarti -- Religious freedom and secularism in post-revolutionary Tunisia / Anna Grasso -- Religious pluralism, religious freedom and the secularization process in the Greek educational system / Alexandraos Sakellariou -- Regulating sincerity : religion, law, public policy, and the ambivalence of religious freedom in pluralist societies / Zaheeda P. Alibhai -- The religionization in Alevi culture : an exploratory study on spiritual leaders (Dedes) / Nuran Erol Işuk -- One, many or none : religious truth-claims and social perception of religious freedom / Olga Breskaya and Giuseppe Giordan -- Religious freedom in prisons : a case study from the Czech Republic / Jan Váně and Lukáš Dirga -- Organizations and religious restrictions : an international overview of the intersection of state and non-governmental organizations and religious groups / Dane R. Mataic and Kerby Goff -- Religious freedom between politics and policies : social and legal conflicts over Catholic religious education in Italy, 1984-1992 / Guillaume Silhol -- The measure of Cedaw : religion, religious freedom, and the rights of women / Barbara R. Walters -- Religious freedom and religionization of world politics : viewed of EU political and religious representatives / Chrysa K. Almpani. - Document LIN Search class: ['rel'], ['jur'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1654290831.jsonld

Pro Android UI

If you're an Android application developer, chances areyou're using fixed, scrolling, swipe-able, and other cutting-edge custom UIDesigns in your Android development projects. These UI Design approaches aswell as other Android ViewGroup UI layout containers are the bread and butterof Pro Android User Interface (UI) design and Android User Experience (UX)design and development. Using a top down approach, Pro Android UI shows you how todesign and develop the best user interface for your app, while taking intoaccount the varying device form factors in the increasingly fragmented Androidenvironment. Pro Android UI aims to be the ultimate reference and customizationcookbook for your Android UI Design, and as such will be useful to experienceddevelopers as well as beginners. With Android's powerful UI layout classes, you can easilycreate everything from the simplest of lists to fully tricked-out userinterfaces. While using these UI classes for boring, standard user interfacescan be quite simple, customizing a unique UI design can often become extremelychallenging If you’re an Android application developer, chances areyou’re using fixed, scrolling, swipe-able, and other cutting-edge custom UIDesigns in your Android development projects. These UI Design approaches aswell as other Android ViewGroup UI layout containers are the bread and butterof Pro Android User Interface (UI) design and Android User Experience (UX)design and development. Using a top down approach, Pro Android UI shows you how todesign and develop the best user interface for your app, while taking intoaccount the varying device form factors in the increasingly fragmented Androidenvironment. Pro Android UI aims to be the ultimate reference and customizationcookbook for your Android UI Design, and as such will be useful to experienceddevelopers as well as beginners. With Android’s powerful UI layout classes, you can easilycreate everything from the simplest of lists to fully tricked-out userinterfaces. While using these UI classes for boring, standard user interfacescan be quite simple, customizing a unique UI design can often become extremelychallenging

[ "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Pro Android UI - Document Abstract: If you're an Android application developer, chances areyou're using fixed, scrolling, swipe-able, and other cutting-edge custom UIDesigns in your Android development projects. These UI Design approaches aswell as other Android ViewGroup UI layout containers are the bread and butterof Pro Android User Interface (UI) design and Android User Experience (UX)design and development. Using a top down approach, Pro Android UI shows you how todesign and develop the best user interface for your app, while taking intoaccount the varying device form factors in the increasingly fragmented Androidenvironment. Pro Android UI aims to be the ultimate reference and customizationcookbook for your Android UI Design, and as such will be useful to experienceddevelopers as well as beginners. With Android's powerful UI layout classes, you can easilycreate everything from the simplest of lists to fully tricked-out userinterfaces. While using these UI classes for boring, standard user interfacescan be quite simple, customizing a unique UI design can often become extremelychallenging If you’re an Android application developer, chances areyou’re using fixed, scrolling, swipe-able, and other cutting-edge custom UIDesigns in your Android development projects. These UI Design approaches aswell as other Android ViewGroup UI layout containers are the bread and butterof Pro Android User Interface (UI) design and Android User Experience (UX)design and development. Using a top down approach, Pro Android UI shows you how todesign and develop the best user interface for your app, while taking intoaccount the varying device form factors in the increasingly fragmented Androidenvironment. Pro Android UI aims to be the ultimate reference and customizationcookbook for your Android UI Design, and as such will be useful to experienceddevelopers as well as beginners. With Android’s powerful UI layout classes, you can easilycreate everything from the simplest of lists to fully tricked-out userinterfaces. While using these UI classes for boring, standard user interfacescan be quite simple, customizing a unique UI design can often become extremelychallenging - Document LIN Search class: ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A523515375.jsonld

Hippies of the religious right

Introduction -- Modern culture-mainstream and mainline -- The counterculture -- Old-time religion and new-time youth -- A radical spirituality for a radical generation -- The evangelical lifestyle -- The countercultural Christians -- The merging of countercultural and evangelical Christianity -- Awaiting the religious right -- Politically right -- The Christian right and its sixties inheritance -- Epilogue

[ "['rel']", "['his']", "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Hippies of the religious right - Document Abstract: Introduction -- Modern culture-mainstream and mainline -- The counterculture -- Old-time religion and new-time youth -- A radical spirituality for a radical generation -- The evangelical lifestyle -- The countercultural Christians -- The merging of countercultural and evangelical Christianity -- Awaiting the religious right -- Politically right -- The Christian right and its sixties inheritance -- Epilogue - Document LIN Search class: ['rel'], ['his'], ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A716051877.jsonld

Modeling of responsive supply chain

"Addressing various aspects of supply chain management, this book describes the coordination between various elements in supply chain and optimizes the problem using both conventional and evolutionary approaches. It considers different models in the supply chain such as the transportation model, facility location model, assignment model, and planning and scheduling models. The text presents diverse technologies like RFID tags for detection of flow of particular item in the supply chain network. It also addresses the use of artificial intelligent optimization techniques in different types of supply chain problems and the use of specific coordination mechanisms and different analytical models"--

[ "['oek']", "['tec']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Modeling of responsive supply chain - Document Abstract: "Addressing various aspects of supply chain management, this book describes the coordination between various elements in supply chain and optimizes the problem using both conventional and evolutionary approaches. It considers different models in the supply chain such as the transportation model, facility location model, assignment model, and planning and scheduling models. The text presents diverse technologies like RFID tags for detection of flow of particular item in the supply chain network. It also addresses the use of artificial intelligent optimization techniques in different types of supply chain problems and the use of specific coordination mechanisms and different analytical models"-- - Document LIN Search class: ['oek'], ['tec'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A897328965.jsonld

Jane and Dorothy : a true tale of sense and sensibilty

Jane Austen and Dorothy Wordsworth were born just four years apart, in the 1770s, in a world torn between heady revolutionary ideas and fierce conservatism, and both were influenced by the Romantic ideals of Dorothy's brother, William Wordsworth, and his friends. Jane and Dorothy compares their upbringing and education, home lives and loves and, above all, their emotional and creative worlds. Original insights include a new discovery of serious depression suffered by Dorothy Wordsworth, a new and crucial discovery about Dorothy and William's relationship, and a critical look at the myths surrounding the man who stole Jane's heart. This is the first time these two lives have been examined together.

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Jane and Dorothy : a true tale of sense and sensibilty - Document Abstract: Jane Austen and Dorothy Wordsworth were born just four years apart, in the 1770s, in a world torn between heady revolutionary ideas and fierce conservatism, and both were influenced by the Romantic ideals of Dorothy's brother, William Wordsworth, and his friends. Jane and Dorothy compares their upbringing and education, home lives and loves and, above all, their emotional and creative worlds. Original insights include a new discovery of serious depression suffered by Dorothy Wordsworth, a new and crucial discovery about Dorothy and William's relationship, and a critical look at the myths surrounding the man who stole Jane's heart. This is the first time these two lives have been examined together. - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1023442302.jsonld

The Elgar companion to feminist economics

The Elgar Companion to Feminist Economics is the first comprehensive reference work introducing readers to the field of feminist economics. It includes 99 entries by 88 authors. This authoritative volume includes timely entries addressing key concepts in feminist economics as well as feminist economic critiques and reconstructions of major economic theories and policy debates

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Elgar companion to feminist economics - Document Abstract: The Elgar Companion to Feminist Economics is the first comprehensive reference work introducing readers to the field of feminist economics. It includes 99 entries by 88 authors. This authoritative volume includes timely entries addressing key concepts in feminist economics as well as feminist economic critiques and reconstructions of major economic theories and policy debates - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1622482093.jsonld

Jihād in West Africa during the age of revolutions

Introduction -- The Age of revolutions and the Atlantic World -- The origins of jihād in West Africa -- The jihād of Ô̂uthman dan Fodio in the central Bilād al-Sūdān -- The economic impact of jihād in West Africa -- Jihād and the slave trade -- The repercussions of jihād in the Americas -- Sokoto, the jihād states, and the abolition of the Atlantic slave trade -- Empowering history : trajectories across the cultural and religious divide -- Appendix: Population estimates for the Sokoto caliphate, ca. 1905/15

[ "['rel']", "['his']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Jihād in West Africa during the age of revolutions - Document Abstract: Introduction -- The Age of revolutions and the Atlantic World -- The origins of jihād in West Africa -- The jihād of Ô̂uthman dan Fodio in the central Bilād al-Sūdān -- The economic impact of jihād in West Africa -- Jihād and the slave trade -- The repercussions of jihād in the Americas -- Sokoto, the jihād states, and the abolition of the Atlantic slave trade -- Empowering history : trajectories across the cultural and religious divide -- Appendix: Population estimates for the Sokoto caliphate, ca. 1905/15 - Document LIN Search class: ['rel'], ['his'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A635813831.jsonld

War, democracy and culture in classical Athens

"Athens is famous for its direct democracy and its innovative culture. Not widely known is its contemporaneous military revolution. Athens invented or perfected new forms of combat, strategy, and military organisation and was directly responsible for raising the scale of Greek warfare to a different order of magnitude. The timing of this revolution is striking: it followed directly the popular uprising of 508 BC and coincided with the flowering of Athenian culture, which was largely brought about by democracy. This raises the intriguing possibility that popular government was one of the major causes of Athenian military success. Ancient writers may have thought as much, but the traditional assumptions of ancient historians and political scientists have meant that the impact of democracy on war has received almost no scholarly attention. This volume brings together ancient historians, archaeologists, classicists and political scientists to explore this important but neglected problem from multiple perspectives"--Provided by publisher

[ "['his']", "['sow']", "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: War, democracy and culture in classical Athens - Document Abstract: "Athens is famous for its direct democracy and its innovative culture. Not widely known is its contemporaneous military revolution. Athens invented or perfected new forms of combat, strategy, and military organisation and was directly responsible for raising the scale of Greek warfare to a different order of magnitude. The timing of this revolution is striking: it followed directly the popular uprising of 508 BC and coincided with the flowering of Athenian culture, which was largely brought about by democracy. This raises the intriguing possibility that popular government was one of the major causes of Athenian military success. Ancient writers may have thought as much, but the traditional assumptions of ancient historians and political scientists have meant that the impact of democracy on war has received almost no scholarly attention. This volume brings together ancient historians, archaeologists, classicists and political scientists to explore this important but neglected problem from multiple perspectives"--Provided by publisher - Document LIN Search class: ['his'], ['sow'], ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1651008000.jsonld

Help Wanted? : Providing and Paying for Long-Term Care

This book examines the challenges countries are facing with regard to providing and paying for long-term care. With populations ageing and the need for long-term care growing rapidly, this book looks at such issues as: future demographic trends, policies to support family carers, long-term care workers, financing arrangements, long-term care insurance, and getting better value for money in long-term care. “WHO recognizes that long-term care represents a major challenge for all countries in the world, with important implications for economic development and for the health and well-being of older people. This well-documented book provides a comparative analysis of the common challenges and diverse solutions OECD countries are adopting to respond to the growing demand for long-term care services, and particularly its implications for financing and labour markets. It provides much needed evidence to guide policy makers and individuals.” -Dr John Beard, Director, Department of Ageing and Life Course, World Health Organization “This carefully researched book offers invaluable data and insights into the organization and financing of long-term care in OECD countries. The book is an indispensable resource for anyone interested in international long-term care”. -Dr. Joshua M. Wiener, Distinguished Fellow and Program Director of RTI’s Aging, Disability, and Long-Term Care Program, United States

[ "['sow']", "['oek']", "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Help Wanted? : Providing and Paying for Long-Term Care - Document Abstract: This book examines the challenges countries are facing with regard to providing and paying for long-term care. With populations ageing and the need for long-term care growing rapidly, this book looks at such issues as: future demographic trends, policies to support family carers, long-term care workers, financing arrangements, long-term care insurance, and getting better value for money in long-term care. “WHO recognizes that long-term care represents a major challenge for all countries in the world, with important implications for economic development and for the health and well-being of older people. This well-documented book provides a comparative analysis of the common challenges and diverse solutions OECD countries are adopting to respond to the growing demand for long-term care services, and particularly its implications for financing and labour markets. It provides much needed evidence to guide policy makers and individuals.” -Dr John Beard, Director, Department of Ageing and Life Course, World Health Organization “This carefully researched book offers invaluable data and insights into the organization and financing of long-term care in OECD countries. The book is an indispensable resource for anyone interested in international long-term care”. -Dr. Joshua M. Wiener, Distinguished Fellow and Program Director of RTI’s Aging, Disability, and Long-Term Care Program, United States - Document LIN Search class: ['sow'], ['oek'], ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1657099911.jsonld

Exploring mathematics : problem-solving and proof

Introduction -- 1 First explorations -- 2 Recursion - a fundamental idea -- 3 Mathematical induction -- 4 Graphs -- 5 Counting -- 6 General problem solving strategies -- 7 Logic and proofs -- 8 Elementary number theory -- 9 The pigeonhole principle -- 10 The extremal principle -- 11 The invariance principle -- A A survey of problem-solving strategies -- B Basics on sets and maps -- List of symbols -- Glossary -- Lists of problems, theorems and methods -- Hints for selected exercises -- References Have you ever faced a mathematical problem and had no idea how to approach it? Or perhaps you had an idea but got stuck halfway through? This book guides you in developing your creativity, as it takes you on a voyage of discovery into mathematics. Readers will not only learn strategies for solving problems and logical reasoning, but they will also learn about the importance of proofs and various proof techniques. Other topics covered include recursion, mathematical induction, graphs, counting, elementary number theory, and the pigeonhole, extremal and invariance principles. Designed to help students make the transition from secondary school to university level, this book provides readers with a refreshing look at mathematics and deep insights into universal principles that are valuable far beyond the scope of this book. Aimed especially at undergraduate and secondary school students as well as teachers, this book will appeal to anyone interested in mathematics. Only basic secondary school mathematics is required, including an understanding of numbers and elementary geometry, but no calculus. Including numerous exercises, with hints provided, this textbook is suitable for self-study and use alongside lecture courses

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Exploring mathematics : problem-solving and proof - Document Abstract: Introduction -- 1 First explorations -- 2 Recursion - a fundamental idea -- 3 Mathematical induction -- 4 Graphs -- 5 Counting -- 6 General problem solving strategies -- 7 Logic and proofs -- 8 Elementary number theory -- 9 The pigeonhole principle -- 10 The extremal principle -- 11 The invariance principle -- A A survey of problem-solving strategies -- B Basics on sets and maps -- List of symbols -- Glossary -- Lists of problems, theorems and methods -- Hints for selected exercises -- References Have you ever faced a mathematical problem and had no idea how to approach it? Or perhaps you had an idea but got stuck halfway through? This book guides you in developing your creativity, as it takes you on a voyage of discovery into mathematics. Readers will not only learn strategies for solving problems and logical reasoning, but they will also learn about the importance of proofs and various proof techniques. Other topics covered include recursion, mathematical induction, graphs, counting, elementary number theory, and the pigeonhole, extremal and invariance principles. Designed to help students make the transition from secondary school to university level, this book provides readers with a refreshing look at mathematics and deep insights into universal principles that are valuable far beyond the scope of this book. Aimed especially at undergraduate and secondary school students as well as teachers, this book will appeal to anyone interested in mathematics. Only basic secondary school mathematics is required, including an understanding of numbers and elementary geometry, but no calculus. Including numerous exercises, with hints provided, this textbook is suitable for self-study and use alongside lecture courses - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1742259057.jsonld

Operations strategy

Now in its 5th Edition, Operations Strategy continues to provide a comprehensive understanding of the interaction between operational resources and market requirements. Companies such as Apple and Google have transformed their prospects through the way they manage their operations resources strategically, turning their operations capabilities into a formidable asset. The ideas and examples in this book illustrate how operations strategy can develop these capabilities by building on concepts from strategic management, operations management, marketing and HRM. This is the ideal text for advanced undergraduate and postgraduate students

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Operations strategy - Document Abstract: Now in its 5th Edition, Operations Strategy continues to provide a comprehensive understanding of the interaction between operational resources and market requirements. Companies such as Apple and Google have transformed their prospects through the way they manage their operations resources strategically, turning their operations capabilities into a formidable asset. The ideas and examples in this book illustrate how operations strategy can develop these capabilities by building on concepts from strategic management, operations management, marketing and HRM. This is the ideal text for advanced undergraduate and postgraduate students - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A781920698.jsonld

British women writers and the short story : 1850 - 1930 ; reclaiming social space

Introduction: Feminine occupations -- The spinster re-drawing rooms in Elizabeth Gaskell's Cranford -- M.E. Braddon, Rhoda Broughton, and the specter of social critique -- Possessing London: the yellow book's women writers -- Barbara Baynton and Katherine Mansfield's unsettling women -- Conclusion: Virginia Woolf, Jean Rhys, and narratives of obscurity

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: British women writers and the short story : 1850 - 1930 ; reclaiming social space - Document Abstract: Introduction: Feminine occupations -- The spinster re-drawing rooms in Elizabeth Gaskell's Cranford -- M.E. Braddon, Rhoda Broughton, and the specter of social critique -- Possessing London: the yellow book's women writers -- Barbara Baynton and Katherine Mansfield's unsettling women -- Conclusion: Virginia Woolf, Jean Rhys, and narratives of obscurity - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1831621932.jsonld

Data center handbook : plan, design, build, and operations of a smart data center

"A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. During the 1980s, computers started to be deployed everywhere, in many cases with little or no care about operating requirements. However, as information technology (IT) operations started to grow in complexity, companies grew aware of the need to control IT resources. The availability of inexpensive networking equipment, coupled with new standards for network structured cabling, made it possible to use a hierarchical design that put the servers in a specific room inside the company. The use of the term "data center," as applied to specially designed computer rooms, started to gain popular recognition about this time"--

[ "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Data center handbook : plan, design, build, and operations of a smart data center - Document Abstract: "A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. During the 1980s, computers started to be deployed everywhere, in many cases with little or no care about operating requirements. However, as information technology (IT) operations started to grow in complexity, companies grew aware of the need to control IT resources. The availability of inexpensive networking equipment, coupled with new standards for network structured cabling, made it possible to use a hierarchical design that put the servers in a specific room inside the company. The use of the term "data center," as applied to specially designed computer rooms, started to gain popular recognition about this time"-- - Document LIN Search class: ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1744973180.jsonld

Law and economics from an evolutionary perspective

Law and economics are interdependent. Using a historical case analysis approach, this book demonstrates how the legal process relates to and is affected by economic circumstances. Glen Atkinson and Stephen P. Paschall examine this co-evolution in the context of the economic development that occurred in the nineteenth and early twentieth centuries as well as the impact of the law on that development. Specifically, the authors explore the development of a national market, the transformation of the corporation, and the conflict between state and federal control over businesses. Their focus on dynamic, integrated systems presents an alternative to mainstream law and economics. The authors apply John R. Commons's approach to three main law and economics issues: the changing relationship between corporations and the state, the application of the Commerce Clause and the Fourteenth Amendment of the US Constitution to state and federal regulation of business, and the relationship of antitrust law to industrialization. They provide a valuable linking of law with changing economic circumstances such as antitrust policy changes and the development of the corporate form. This analytical approach to the practice of law and economics will be of interest to researchers, students, and faculty in law and economics, economic history, constitutional law, economic regulation, public policy, and the sociology of law. Business students and researchers will also find value in this book's presentation of court decisions and exploration of economic development 1. Evolutionary method in law and economics -- 2. Causes and consequences of the widening of the market: a case of cumulative economic evolution -- 3. The corporate form and the state -- 4. Interstate commerce and state regulation of business -- 5. Interstate commerce and federal regulation of business -- 6. John R. Commons and co-evolution of law and economics.

[ "['jur']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Law and economics from an evolutionary perspective - Document Abstract: Law and economics are interdependent. Using a historical case analysis approach, this book demonstrates how the legal process relates to and is affected by economic circumstances. Glen Atkinson and Stephen P. Paschall examine this co-evolution in the context of the economic development that occurred in the nineteenth and early twentieth centuries as well as the impact of the law on that development. Specifically, the authors explore the development of a national market, the transformation of the corporation, and the conflict between state and federal control over businesses. Their focus on dynamic, integrated systems presents an alternative to mainstream law and economics. The authors apply John R. Commons's approach to three main law and economics issues: the changing relationship between corporations and the state, the application of the Commerce Clause and the Fourteenth Amendment of the US Constitution to state and federal regulation of business, and the relationship of antitrust law to industrialization. They provide a valuable linking of law with changing economic circumstances such as antitrust policy changes and the development of the corporate form. This analytical approach to the practice of law and economics will be of interest to researchers, students, and faculty in law and economics, economic history, constitutional law, economic regulation, public policy, and the sociology of law. Business students and researchers will also find value in this book's presentation of court decisions and exploration of economic development 1. Evolutionary method in law and economics -- 2. Causes and consequences of the widening of the market: a case of cumulative economic evolution -- 3. The corporate form and the state -- 4. Interstate commerce and state regulation of business -- 5. Interstate commerce and federal regulation of business -- 6. John R. Commons and co-evolution of law and economics. - Document LIN Search class: ['jur'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1658922964.jsonld

Psycholinguistic Approaches to Meaning and Understanding across Languages

Reports on joint work by researchers from different theoretical and linguistic backgrounds offer new insights on the interaction of linguistic code and context in language production and comprehension. This volume takes a genuinely cross-linguistic approach integrating theoretically well-founded contrastive descriptions with thorough empirical investigations. Authors answer questions on the topic of how we ‘encode’ complex thoughts into linguistic signals and how we interpret such signals in appropriate ways. Chapters combine on- and off-line empirical methods varying from large-scale corpus analyses over acceptability judgements, sentence completion studies, and reading time experiments. The authors shed new light on the central questions related to our everyday use of language, especially the problem of how we construe meaning in and through language in general as well as through the means provided by particular languages. “Language is there to construct meaning. But languages are different -- in their lexicon, in their morphosyntax, also in their ways of constructing discourse and in the extent to which they rely on implicit knowledge and on conversational rules. So, what does this tell us about the meanings constructed by language? Are they the same (as, for example, the two number expressions "1989" and "MCMLXXXIX" mean the same) -- or are they different, due to the way how meanings are constructed? This edited volume provides an ingenious way to discuss differences how meanings are constructed, by focusing on narrowly described phenomena and contrasting two languages per article. It seeks evidence for these differences not only from intuition of speakers and from linguistic corpora, but primarily from experimental studies. Thus, it provides an important contribution of our understanding what linguistic meaning is.” Manfred Krifka, Humboldt-Universität, Berlin & Zentrum für Allgemeine Sprachwissenschaft (ZAS), Berlin

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Psycholinguistic Approaches to Meaning and Understanding across Languages - Document Abstract: Reports on joint work by researchers from different theoretical and linguistic backgrounds offer new insights on the interaction of linguistic code and context in language production and comprehension. This volume takes a genuinely cross-linguistic approach integrating theoretically well-founded contrastive descriptions with thorough empirical investigations. Authors answer questions on the topic of how we ‘encode’ complex thoughts into linguistic signals and how we interpret such signals in appropriate ways. Chapters combine on- and off-line empirical methods varying from large-scale corpus analyses over acceptability judgements, sentence completion studies, and reading time experiments. The authors shed new light on the central questions related to our everyday use of language, especially the problem of how we construe meaning in and through language in general as well as through the means provided by particular languages. “Language is there to construct meaning. But languages are different -- in their lexicon, in their morphosyntax, also in their ways of constructing discourse and in the extent to which they rely on implicit knowledge and on conversational rules. So, what does this tell us about the meanings constructed by language? Are they the same (as, for example, the two number expressions "1989" and "MCMLXXXIX" mean the same) -- or are they different, due to the way how meanings are constructed? This edited volume provides an ingenious way to discuss differences how meanings are constructed, by focusing on narrowly described phenomena and contrasting two languages per article. It seeks evidence for these differences not only from intuition of speakers and from linguistic corpora, but primarily from experimental studies. Thus, it provides an important contribution of our understanding what linguistic meaning is.” Manfred Krifka, Humboldt-Universität, Berlin & Zentrum für Allgemeine Sprachwissenschaft (ZAS), Berlin - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1002964075.jsonld

Elliptic boundary value problems with fractional regularity data : the first order approach

In this monograph the authors study the well-posedness of boundary value problems of Dirichlet and Neumann type for elliptic systems on the upper half-space with coefficients independent of the transversal variable and with boundary data in fractional Hardy-Sobolev and Besov spaces. The authors use the so-called "first order approach" which uses minimal assumptions on the coefficients and thus allows for complex coefficients and for systems of equations. This self-contained exposition of the first order approach offers new results with detailed proofs in a clear and accessible way and will become a valuable reference for graduate students and researchers working in partial differential equations and harmonic analysis

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Elliptic boundary value problems with fractional regularity data : the first order approach - Document Abstract: In this monograph the authors study the well-posedness of boundary value problems of Dirichlet and Neumann type for elliptic systems on the upper half-space with coefficients independent of the transversal variable and with boundary data in fractional Hardy-Sobolev and Besov spaces. The authors use the so-called "first order approach" which uses minimal assumptions on the coefficients and thus allows for complex coefficients and for systems of equations. This self-contained exposition of the first order approach offers new results with detailed proofs in a clear and accessible way and will become a valuable reference for graduate students and researchers working in partial differential equations and harmonic analysis - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A657430145.jsonld

Naturalisation : a passport for the better integration of immigrants?

This conference proceedings provides the papers presented at the OECD/European Commission joint seminar on Naturalisation and the Socio-Economic Integration of Immigrants and their Children held in October 2010 in Brussels. It takes stock of the current knowledge regarding the links between host-country nationality and socio-economic integration of immigrants and their children, building on novel evidence on this issue. It also discusses the role of naturalisation as a tool in the overall framework for immigration and integration policy, with the aim of identifying good practices. This conference proceedings provides the papers presented at the OECD/European Commission joint seminar on Naturalisation and the Socio-Economic Integration of Immigrants and their Children held in October 2010 in Brussels. It takes stock of the current knowledge  regarding the links between host-country nationality and socio-economic integration of immigrants and their children, building on novel evidence on this issue. It also discusses the role of naturalisation as a tool in the overall framework for immigration and integration policy, with the aim of identifying go

[ "['sow']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Naturalisation : a passport for the better integration of immigrants? - Document Abstract: This conference proceedings provides the papers presented at the OECD/European Commission joint seminar on Naturalisation and the Socio-Economic Integration of Immigrants and their Children held in October 2010 in Brussels. It takes stock of the current knowledge regarding the links between host-country nationality and socio-economic integration of immigrants and their children, building on novel evidence on this issue. It also discusses the role of naturalisation as a tool in the overall framework for immigration and integration policy, with the aim of identifying good practices. This conference proceedings provides the papers presented at the OECD/European Commission joint seminar on Naturalisation and the Socio-Economic Integration of Immigrants and their Children held in October 2010 in Brussels. It takes stock of the current knowledge  regarding the links between host-country nationality and socio-economic integration of immigrants and their children, building on novel evidence on this issue. It also discusses the role of naturalisation as a tool in the overall framework for immigration and integration policy, with the aim of identifying go - Document LIN Search class: ['sow'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A727643150.jsonld

Rethinking power in organizations, institutions, and markets

In this volume we strive to go beyond the dual approach of power opposing structural/oversocialized perspectives and situational perspectives, through theoretical and empirical contributions stressing power as a continuously "living" phenomenon. In particular, the volume will address issues including integrating the various forms of power in Organization Sociology. How can we reconsider the exercise of power as polymorphic and multidimensional? What ontological and epistemological challenges are raised by an integrated perspective of power? How organizational power shapes intra-organizational practices and inter-organizational relations? In this volume we strive to go beyond the dual approach of power opposing structural/oversocialized perspectives and situational perspectives, through theoretical and empirical contributions stressing power as a continuously 'living' phenomenon

[ "['sow']", "['pae']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Rethinking power in organizations, institutions, and markets - Document Abstract: In this volume we strive to go beyond the dual approach of power opposing structural/oversocialized perspectives and situational perspectives, through theoretical and empirical contributions stressing power as a continuously "living" phenomenon. In particular, the volume will address issues including integrating the various forms of power in Organization Sociology. How can we reconsider the exercise of power as polymorphic and multidimensional? What ontological and epistemological challenges are raised by an integrated perspective of power? How organizational power shapes intra-organizational practices and inter-organizational relations? In this volume we strive to go beyond the dual approach of power opposing structural/oversocialized perspectives and situational perspectives, through theoretical and empirical contributions stressing power as a continuously 'living' phenomenon - Document LIN Search class: ['sow'], ['pae'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1028032218.jsonld

Recent Advances in Constructive Approximation Theory

1. Moment Generating Functions and Central Moments -- 2.Quantitative Estimates -- 3.Basics of Post-Quantum Calculus -- 4. Integral Operators -- 5. Univariate Grüss and Ostrowski type inequalities for positive linear operators -- 6. Bivariate Grüss-type inequalities for positive linear operators -- 7. Estimates for the differences of positive linear operators -- 8. Bivariate operators of discrete and integral type -- 9. Convergence of GBS Operators This book presents an in-depth study on advances in constructive approximation theory with recent problems on linear positive operators. State-of-the-art research in constructive approximation is treated with extensions to approximation results on linear positive operators in a post quantum and bivariate setting. Methods, techniques, and problems in approximation theory are demonstrated with applications to optimization, physics, and biology. Graduate students, research scientists and engineers working in mathematics, physics, and industry will broaden their understanding of operators essential to pure and applied mathematics. Topics discussed include: discrete operators, quantitative estimates, post-quantum calculus, integral operators, univariate Gruss-type inequalities for positive linear operators, bivariate operators of discrete and integral type convergence of GBS operators

[ "['mat']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Recent Advances in Constructive Approximation Theory - Document Abstract: 1. Moment Generating Functions and Central Moments -- 2.Quantitative Estimates -- 3.Basics of Post-Quantum Calculus -- 4. Integral Operators -- 5. Univariate Grüss and Ostrowski type inequalities for positive linear operators -- 6. Bivariate Grüss-type inequalities for positive linear operators -- 7. Estimates for the differences of positive linear operators -- 8. Bivariate operators of discrete and integral type -- 9. Convergence of GBS Operators This book presents an in-depth study on advances in constructive approximation theory with recent problems on linear positive operators. State-of-the-art research in constructive approximation is treated with extensions to approximation results on linear positive operators in a post quantum and bivariate setting. Methods, techniques, and problems in approximation theory are demonstrated with applications to optimization, physics, and biology. Graduate students, research scientists and engineers working in mathematics, physics, and industry will broaden their understanding of operators essential to pure and applied mathematics. Topics discussed include: discrete operators, quantitative estimates, post-quantum calculus, integral operators, univariate Gruss-type inequalities for positive linear operators, bivariate operators of discrete and integral type convergence of GBS operators - Document LIN Search class: ['mat'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1677214546.jsonld

Area-wide management of fruit fly pests

"Fruit fly (Diptera: Tephritidae) pests have a profound impact on horticultural production and economy of many countries. It is fundamental to understand their biology and evaluate methods for their suppression, containment, or eradication. Area-Wide Management of Fruit Fly Pests comprises contributions from scientists from around the world on several species of tephritids working on diverse subjects with a focus on area-wide management of these pests. The first three sections of the book explore aspects of the biology, ecology, physiology, behavior, taxonomy, and morphology of fruit flies. The next two sections provide evidence on the efficacy of attractants, risk assessment, quarantine, and post-harvest control methods. The fifth and sixth sections examine biological control methods such as the Sterile Insect Technique and the use of natural enemies of fruit flies. The seventh section focuses on area-wide integrated pest management and action programs. Finally, the eighth section examines social, economic, and policy issues of action programs aimed at involving the wider community in the control of these pests and facilitate the development of control programs. Features: Presents information on the biology of tephritid flies. Provides knowledge on the use of natural enemies of fruit flies for their biological control. Includes research results on models and diets used for the Sterile Insect Technique. Reports developments on the chemical ecology of fruit flies that contribute to make control methods more specific and efficient. Reviews subjects such as Holistic Pest Management and Area-Wide Management Programs including social, economic, and policy issues in various countries"--

[ "['hor']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Area-wide management of fruit fly pests - Document Abstract: "Fruit fly (Diptera: Tephritidae) pests have a profound impact on horticultural production and economy of many countries. It is fundamental to understand their biology and evaluate methods for their suppression, containment, or eradication. Area-Wide Management of Fruit Fly Pests comprises contributions from scientists from around the world on several species of tephritids working on diverse subjects with a focus on area-wide management of these pests. The first three sections of the book explore aspects of the biology, ecology, physiology, behavior, taxonomy, and morphology of fruit flies. The next two sections provide evidence on the efficacy of attractants, risk assessment, quarantine, and post-harvest control methods. The fifth and sixth sections examine biological control methods such as the Sterile Insect Technique and the use of natural enemies of fruit flies. The seventh section focuses on area-wide integrated pest management and action programs. Finally, the eighth section examines social, economic, and policy issues of action programs aimed at involving the wider community in the control of these pests and facilitate the development of control programs. Features: Presents information on the biology of tephritid flies. Provides knowledge on the use of natural enemies of fruit flies for their biological control. Includes research results on models and diets used for the Sterile Insect Technique. Reports developments on the chemical ecology of fruit flies that contribute to make control methods more specific and efficient. Reviews subjects such as Holistic Pest Management and Area-Wide Management Programs including social, economic, and policy issues in various countries"-- - Document LIN Search class: ['hor'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1744973296.jsonld

A brief history of political economy : tales of Marx, Keynes and Hayek

Prologue -- 1. The tale of Marx -- 2. The tale of Keynes -- 3. The tale of Hayek -- Epilogue: towards a new tale? This book examines the three historical master tales and questions their validity and relevance in today's moment of global disorientation which lacks a convincing and dominant economic narrative. Investigating the ideological dimension and exploring the continued impact of Marx, Keynes and Hayek, the authors demonstrate how these three economic narratives became entangled over time and under increasing complexity, overlapping and competing with each other. The book reflects on the meaning of the historical legacy of the three narratives and investigates their significance today. All three outlined the prospects for a better and more economically efficient world with increased social justice. Magnusson and Stråth argue that they constitute a legacy on which a new economic tale must be based, a legacy to draw on or confront. A concise and engaging work, this is an ideal resource for students and academics interested in economics, political science, history and global studies. A Brief History of Political Economy presents a powerful economic history of the last 170 years as a basis for economic reconsideration

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: A brief history of political economy : tales of Marx, Keynes and Hayek - Document Abstract: Prologue -- 1. The tale of Marx -- 2. The tale of Keynes -- 3. The tale of Hayek -- Epilogue: towards a new tale? This book examines the three historical master tales and questions their validity and relevance in today's moment of global disorientation which lacks a convincing and dominant economic narrative. Investigating the ideological dimension and exploring the continued impact of Marx, Keynes and Hayek, the authors demonstrate how these three economic narratives became entangled over time and under increasing complexity, overlapping and competing with each other. The book reflects on the meaning of the historical legacy of the three narratives and investigates their significance today. All three outlined the prospects for a better and more economically efficient world with increased social justice. Magnusson and Stråth argue that they constitute a legacy on which a new economic tale must be based, a legacy to draw on or confront. A concise and engaging work, this is an ideal resource for students and academics interested in economics, political science, history and global studies. A Brief History of Political Economy presents a powerful economic history of the last 170 years as a basis for economic reconsideration - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1690214767.jsonld

Christianity, Islam, and Oriṣa religion: three traditions in comparison and interaction

Frontmatter -- Contents -- List of Abbreviations Appearing in the Text and Notes -- Acknowledgments -- Introduction -- Part I -- 1. History, Culture, and the Comparative Method: A West African Puzzle -- 2. Two Pastors and Their Histories: Samuel Johnson and C. C. Reindorf -- 3. Ogun in Precolonial Yorubaland: A Comparative Analysis -- 4. Divergent Modes of Religiosity in West Africa -- 5. Postsocialism, Postcolonialism, Pentecostalism -- Part II -- 6. Context, Tradition, and the Anthropology of World Religions -- 7. Conversion and Community in Yorubaland -- 8. Yoruba Ethnogenesis and the Trajectory of Islam -- 9. A Century of Interplay Between Islam and Christianity -- 10. Pentecostalism and Salafism in Nigeria: Mirror Images? -- 11. The Three Circles of Yoruba Religion -- Glossary of Yoruba and Arabic Terms Appearing in the Text and Notes -- Notes -- Index A free ebook version of this title is available through Luminos, University of California Press's open access publishing program for monographs. Visit www.luminosoa.org to learn more. The Yoruba of southwestern Nigeria are exceptional for the copresence among them of three religious traditions: Islam, Christianity, and the indigenous orisa religion. In this comparative study, at once historical and anthropological, Peel explores the intertwined character of the three religions and the dense imbrication of religion in all aspects of Yoruba history up to the present. For over 400 years, the Yoruba have straddled two geocultural spheres: one reaching north over the Sahara to the world of Islam, the other linking them to the Euro-American world via the Atlantic. These two external spheres were the source of contrasting cultural influences, notably those emanating from the world religions. However, the Yoruba not only imported Islam and Christianity but also exported their own orisa religion to the New World. Before the voluntary modern diaspora that has brought many Yoruba to Europe and the Americas, tens of thousands were sold as slaves in the New World, bringing with them the worship of the orisa. Peel offers deep insight into important contemporary themes such as religious conversion, new religious movements, relations between world religions, the conditions of religious violence, the transnational flows of contemporary religion, and the interplay between tradition and the demands of an ever-changing present. In the process, he makes a major theoretical contribution to the anthropology of world religions

[ "['rel']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Christianity, Islam, and Oriṣa religion: three traditions in comparison and interaction - Document Abstract: Frontmatter -- Contents -- List of Abbreviations Appearing in the Text and Notes -- Acknowledgments -- Introduction -- Part I -- 1. History, Culture, and the Comparative Method: A West African Puzzle -- 2. Two Pastors and Their Histories: Samuel Johnson and C. C. Reindorf -- 3. Ogun in Precolonial Yorubaland: A Comparative Analysis -- 4. Divergent Modes of Religiosity in West Africa -- 5. Postsocialism, Postcolonialism, Pentecostalism -- Part II -- 6. Context, Tradition, and the Anthropology of World Religions -- 7. Conversion and Community in Yorubaland -- 8. Yoruba Ethnogenesis and the Trajectory of Islam -- 9. A Century of Interplay Between Islam and Christianity -- 10. Pentecostalism and Salafism in Nigeria: Mirror Images? -- 11. The Three Circles of Yoruba Religion -- Glossary of Yoruba and Arabic Terms Appearing in the Text and Notes -- Notes -- Index A free ebook version of this title is available through Luminos, University of California Press's open access publishing program for monographs. Visit www.luminosoa.org to learn more. The Yoruba of southwestern Nigeria are exceptional for the copresence among them of three religious traditions: Islam, Christianity, and the indigenous orisa religion. In this comparative study, at once historical and anthropological, Peel explores the intertwined character of the three religions and the dense imbrication of religion in all aspects of Yoruba history up to the present. For over 400 years, the Yoruba have straddled two geocultural spheres: one reaching north over the Sahara to the world of Islam, the other linking them to the Euro-American world via the Atlantic. These two external spheres were the source of contrasting cultural influences, notably those emanating from the world religions. However, the Yoruba not only imported Islam and Christianity but also exported their own orisa religion to the New World. Before the voluntary modern diaspora that has brought many Yoruba to Europe and the Americas, tens of thousands were sold as slaves in the New World, bringing with them the worship of the orisa. Peel offers deep insight into important contemporary themes such as religious conversion, new religious movements, relations between world religions, the conditions of religious violence, the transnational flows of contemporary religion, and the interplay between tradition and the demands of an ever-changing present. In the process, he makes a major theoretical contribution to the anthropology of world religions - Document LIN Search class: ['rel'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A794340768.jsonld

Environmental Security and Gender

Over the past 20 years scholars, policymakers, and the media have increasingly recognized the links between both traditional and non-traditional security issues and the changing condition of the global environment. Concepts such as ''environmental security'' and ''resource conflict'' have been used to hint at these significant linkages. While there has been a good deal of scholarly work conducted that seeks to identify the ways that actors link these concepts, there has been little examination of the intersection between approaches to environmental security and gender. This book explores this

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Environmental Security and Gender - Document Abstract: Over the past 20 years scholars, policymakers, and the media have increasingly recognized the links between both traditional and non-traditional security issues and the changing condition of the global environment. Concepts such as ''environmental security'' and ''resource conflict'' have been used to hint at these significant linkages. While there has been a good deal of scholarly work conducted that seeks to identify the ways that actors link these concepts, there has been little examination of the intersection between approaches to environmental security and gender. This book explores this - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A562220429.jsonld

Tribology of diamond-like carbon films : fundamentals and applications

Since their initial discovery, Diamond Like Carbon films have enjoyed an overwhelming interest from both the scientific and industrial community. This book highlights some of the most important structural, chemical, mechanical and tribological characteristics of DLC films. It is particularly dedicated to the fundamental tribological issues that impact the performance and durability of these coatings in numerous industrial applications including automotive, microelectronics, aerospace, biomedical, textile, and manufacturing. As a result of numerous systematic studies, there now exist reliable models, computer simulations, and experimental findings that demonstrate some of the lowest friction and wear coefficients for these films. Accordingly, this book covers some of the most important tribological findings on DLC films and emphasizes their application in mechanical systems ranging in size from nano/micro (like MEMS, NEMS) to meso/macro scale devices (like bearings, gears, aerospace mechanisms, liquid/solid lubricated engine parts and components). The book includes contributions from some of the most prominent world experts representing academia, national laboratories, and industrial companies.

[ "['mas']", "['fer']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Tribology of diamond-like carbon films : fundamentals and applications - Document Abstract: Since their initial discovery, Diamond Like Carbon films have enjoyed an overwhelming interest from both the scientific and industrial community. This book highlights some of the most important structural, chemical, mechanical and tribological characteristics of DLC films. It is particularly dedicated to the fundamental tribological issues that impact the performance and durability of these coatings in numerous industrial applications including automotive, microelectronics, aerospace, biomedical, textile, and manufacturing. As a result of numerous systematic studies, there now exist reliable models, computer simulations, and experimental findings that demonstrate some of the lowest friction and wear coefficients for these films. Accordingly, this book covers some of the most important tribological findings on DLC films and emphasizes their application in mechanical systems ranging in size from nano/micro (like MEMS, NEMS) to meso/macro scale devices (like bearings, gears, aerospace mechanisms, liquid/solid lubricated engine parts and components). The book includes contributions from some of the most prominent world experts representing academia, national laboratories, and industrial companies. - Document LIN Search class: ['mas'], ['fer'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A668967471.jsonld

Foreign front : Third World politics in sixties West Germany

Dissident guests -- Third-Worldism and collaboration -- The rupture of Vietnam -- The missing bodies of June 2nd -- Corpse polemics -- The cultural revolution in West Germany

[ "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Foreign front : Third World politics in sixties West Germany - Document Abstract: Dissident guests -- Third-Worldism and collaboration -- The rupture of Vietnam -- The missing bodies of June 2nd -- Corpse polemics -- The cultural revolution in West Germany - Document LIN Search class: ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1657071820.jsonld

Zur Digitalisierung des Sozialen : ethische und ökonomische Reflexionen

It’s important to anticipate how global networking of digital information will completely change the social sphere itself and consequently the whole social arrangement of humanity.Epochal upheavals are not new in the history of mankind. Seemingly independent developments strengthen each other and create a confusing time of transition that still has a clear direction. So it’s not only social work that changes but also its general conditions and ethical principles.After 25 years’ experience of running social businesses, the author of this book describes the most important aspects of this development in an understandable manner which takes into account the variety of professions that exist in social work. His ethical reflections sometimes lead to surprising recommendations. „Es gilt zu erahnen, wie die globale Vernetzung digitaler Informationen das Soziale selbst, nämlich das gesamte gesellschaftliche Arrangement der Menschheit, tiefgreifend verändert.“Epochale Umbrüche sind in der Geschichte der Menschheit nicht neu. Scheinbar eigenständige Entwicklungen verstärken sich gegenseitig und schaffen eine unübersichtliche Zeit des Übergangs, die trotzdem in eine eindeutige Richtung weist. Damit verändert sich nicht nur die Soziale Arbeit. Es verändern sich auch ihre Rahmenbedingungen sowie der normative Horizont, vor dem sie stattfindet.Als Praktiker mit 25-jähriger Erfahrung in der Führung sozialer Unternehmen schildert der Autor die wesentlichen Aspekte dieser Entwicklung in einer allgemeinverständlichen Weise, welche der Vielzahl an Professionen, die im Sektor der Sozialen Arbeit vertreten sind, Rechnung trägt. In der ethischen Reflexion kommt er dabei zu mitunter überraschenden Empfehlungen.

[ "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Zur Digitalisierung des Sozialen : ethische und ökonomische Reflexionen - Document Abstract: It’s important to anticipate how global networking of digital information will completely change the social sphere itself and consequently the whole social arrangement of humanity.Epochal upheavals are not new in the history of mankind. Seemingly independent developments strengthen each other and create a confusing time of transition that still has a clear direction. So it’s not only social work that changes but also its general conditions and ethical principles.After 25 years’ experience of running social businesses, the author of this book describes the most important aspects of this development in an understandable manner which takes into account the variety of professions that exist in social work. His ethical reflections sometimes lead to surprising recommendations. „Es gilt zu erahnen, wie die globale Vernetzung digitaler Informationen das Soziale selbst, nämlich das gesamte gesellschaftliche Arrangement der Menschheit, tiefgreifend verändert.“Epochale Umbrüche sind in der Geschichte der Menschheit nicht neu. Scheinbar eigenständige Entwicklungen verstärken sich gegenseitig und schaffen eine unübersichtliche Zeit des Übergangs, die trotzdem in eine eindeutige Richtung weist. Damit verändert sich nicht nur die Soziale Arbeit. Es verändern sich auch ihre Rahmenbedingungen sowie der normative Horizont, vor dem sie stattfindet.Als Praktiker mit 25-jähriger Erfahrung in der Führung sozialer Unternehmen schildert der Autor die wesentlichen Aspekte dieser Entwicklung in einer allgemeinverständlichen Weise, welche der Vielzahl an Professionen, die im Sektor der Sozialen Arbeit vertreten sind, Rechnung trägt. In der ethischen Reflexion kommt er dabei zu mitunter überraschenden Empfehlungen. - Document LIN Search class: ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A750189819.jsonld

Intelligent investing in irrational markets

As a game of economics, investing involves the basic principles of economics that help investors identify financial goals and constraints, and come up with the right asset and portfolio allocation. Mourdoukoutas outlines the rules for investing in irrational markets successfully

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Intelligent investing in irrational markets - Document Abstract: As a game of economics, investing involves the basic principles of economics that help investors identify financial goals and constraints, and come up with the right asset and portfolio allocation. Mourdoukoutas outlines the rules for investing in irrational markets successfully - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A898309743.jsonld

Seeing through the screen : interpreting American political film

Introduction -- Political campaigns -- The President -- Congress -- Law and courts -- The media -- War and peace -- Domestic policy -- State and local politics

[ "['his']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Seeing through the screen : interpreting American political film - Document Abstract: Introduction -- Political campaigns -- The President -- Congress -- Law and courts -- The media -- War and peace -- Domestic policy -- State and local politics - Document LIN Search class: ['his'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A186087553X.jsonld

Building an international cybersecurity regime : multistakeholder diplomacy

Providing a much-needed study on cybersecurity regime building, this comprehensive book is a detailed analysis of cybersecurity norm-making processes and country positions, through the lens of multi-stakeholder diplomacy. Multi-disciplinary and multi-national scholars and practitioners use insights drawn from high-level discussion groups to provide a rigorous analysis of how major cyber powers view multi-stakeholder diplomacy. Looking at how past cybersecurity initiatives and multi-stakeholder negotiations in other fields illuminate its dynamics, this book will help put states' approaches towards multi-stakeholder cyber diplomacy into perspective, and frame the role of private actors in cybersecurity regime building. Evaluating the most promising institutional arrangements and mechanisms for implementing cybersecurity, this book combines top-down analyses relevant to the design of international cybersecurity regimes with bottom-up case studies, tracing the approaches of important states towards multi-stakeholder participation in cyber diplomacy. With a wealth of policy-relevant findings, this book will be welcomed by practitioners and scholars of international law, international organisation and international cybersecurity as well as multi-stakeholder governance and multilateral regimes. Policymakers and diplomats involved in international cybersecurity processes will also benefit from its cutting-edge comparative analysis of the approaches of key cyber powers.

[ "['inf']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Building an international cybersecurity regime : multistakeholder diplomacy - Document Abstract: Providing a much-needed study on cybersecurity regime building, this comprehensive book is a detailed analysis of cybersecurity norm-making processes and country positions, through the lens of multi-stakeholder diplomacy. Multi-disciplinary and multi-national scholars and practitioners use insights drawn from high-level discussion groups to provide a rigorous analysis of how major cyber powers view multi-stakeholder diplomacy. Looking at how past cybersecurity initiatives and multi-stakeholder negotiations in other fields illuminate its dynamics, this book will help put states' approaches towards multi-stakeholder cyber diplomacy into perspective, and frame the role of private actors in cybersecurity regime building. Evaluating the most promising institutional arrangements and mechanisms for implementing cybersecurity, this book combines top-down analyses relevant to the design of international cybersecurity regimes with bottom-up case studies, tracing the approaches of important states towards multi-stakeholder participation in cyber diplomacy. With a wealth of policy-relevant findings, this book will be welcomed by practitioners and scholars of international law, international organisation and international cybersecurity as well as multi-stakeholder governance and multilateral regimes. Policymakers and diplomats involved in international cybersecurity processes will also benefit from its cutting-edge comparative analysis of the approaches of key cyber powers. - Document LIN Search class: ['inf'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A819479543.jsonld

Postdigital aesthetics : art, computation and design

David Berry and Michael Dieter: Introduction -- Florian Cramer: What is post-digital? -- Malcolm Levy and Christine Paul: Genealogies of the new aesthetic -- David Berry: The post-digital constellation -- Lukacs Mirocha: Communication models, aesthetics and ontology of the computational age revealed -- Katja Kwastek: How to be theorized: a f*** academic essay on the new aesthetic -- Daniel Pinkas: A hyperbolic new aesthetic -- Stamatia Portanova: The genius and the algorithm: reflections on the new aesthetic as a computer's vision -- Lev Manovich and Alise Tifentale: Selfiecity: exploring photography and self-fashioning in social media -- David Golumbia: Judging like a machine -- Caroline bassett: Not now? : feminism, technology, postdigital -- Geoff Cox: Postscript on the problem of temporality in the post-digital -- Michael Dieterdark: Patterns: interface design, augmentation and crisis -- Sean Cubitt: Data visualisation and the subject of political aesthetics -- Mercedes Bunz: School will never end: on infantilization in digital environments: amplifying empowerment or propagating stupidity? -- Jussi Parikkathe : City and the city: London 2012 visual (un)commons -- Shintaro Miyazaki: Going beyond the visible: new aesthetic as an aesthetic of blindness? -- Thomas Apperley: Glitch sorting: minecraft, curation and the postdigital -- Marc Tuters: Through glass darkly: Google's gnostic governance -- Vito Campanelli: New aesthetic in the perspective of social photography -- Søren Bro Pold and Christian Ulrik Andersen: Aesthetics of the banal: "new aesthetics" in an era of diverted digital revolutions -- Wendy Chunnet: Works now: belated too early

[ "['sow']", "['inf']", "['phi']", "['elt']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Postdigital aesthetics : art, computation and design - Document Abstract: David Berry and Michael Dieter: Introduction -- Florian Cramer: What is post-digital? -- Malcolm Levy and Christine Paul: Genealogies of the new aesthetic -- David Berry: The post-digital constellation -- Lukacs Mirocha: Communication models, aesthetics and ontology of the computational age revealed -- Katja Kwastek: How to be theorized: a f*** academic essay on the new aesthetic -- Daniel Pinkas: A hyperbolic new aesthetic -- Stamatia Portanova: The genius and the algorithm: reflections on the new aesthetic as a computer's vision -- Lev Manovich and Alise Tifentale: Selfiecity: exploring photography and self-fashioning in social media -- David Golumbia: Judging like a machine -- Caroline bassett: Not now? : feminism, technology, postdigital -- Geoff Cox: Postscript on the problem of temporality in the post-digital -- Michael Dieterdark: Patterns: interface design, augmentation and crisis -- Sean Cubitt: Data visualisation and the subject of political aesthetics -- Mercedes Bunz: School will never end: on infantilization in digital environments: amplifying empowerment or propagating stupidity? -- Jussi Parikkathe : City and the city: London 2012 visual (un)commons -- Shintaro Miyazaki: Going beyond the visible: new aesthetic as an aesthetic of blindness? -- Thomas Apperley: Glitch sorting: minecraft, curation and the postdigital -- Marc Tuters: Through glass darkly: Google's gnostic governance -- Vito Campanelli: New aesthetic in the perspective of social photography -- Søren Bro Pold and Christian Ulrik Andersen: Aesthetics of the banal: "new aesthetics" in an era of diverted digital revolutions -- Wendy Chunnet: Works now: belated too early - Document LIN Search class: ['sow'], ['inf'], ['phi'], ['elt'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1659079888.jsonld

A Primer on Scientific Programming with Python

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 Preface -- Computing with Formulas -- Loops and Lists -- Functions and Branching -- User Input and Error Handling -- Array Computing and Curve Plotting -- Dictionaries and Strings -- Introduction to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming -- Sequences and Difference Equations -- Introduction to Discrete Calculus -- Introduction to Differential Equations -- A Complete Differential Equation Project -- Programming of Differential Equations -- Debugging -- Migrating Python to Compiled Code -- Technical Topics -- Bibliography -- Index

[ "['inf']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: A Primer on Scientific Programming with Python - Document Abstract: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 Preface -- Computing with Formulas -- Loops and Lists -- Functions and Branching -- User Input and Error Handling -- Array Computing and Curve Plotting -- Dictionaries and Strings -- Introduction to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming -- Sequences and Difference Equations -- Introduction to Discrete Calculus -- Introduction to Differential Equations -- A Complete Differential Equation Project -- Programming of Differential Equations -- Debugging -- Migrating Python to Compiled Code -- Technical Topics -- Bibliography -- Index - Document LIN Search class: ['inf'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655872192.jsonld

The institutional evolution of China : government vs market

Contents: Preface -- 1. Introduction -- 2. Road to reform: 1949-1978 -- 3. Reform 1979-1989: how was the market created? -- 4. Reform and political coalition in 1990-2003 -- 5. Stagnation in 2003-2012 -- 6. The post reform period 2012-present -- 7. Lessons learned and long term expectations -- Reference -- Index. China's recent evolution is not only a story of extraordinary economic growth but also a story of great institutional change. Fan Zhang challenges traditional theory to explain the real origins of China's reform, the political and economic forces driving it, and the reasoning behind its stagnation. The institutional re-arrangement of government and market has been crucial in this marketization process. Using a wealth of documents and cases, Zhang provides a detailed analysis of China's institutional changes over the past 40 years, focusing on the government-market relationship. A theoretical framework is presented to explain the targets and incentives of government and business firms in a bureaucratic-market system, which promoted economic growth, but also fostered corruption and resulted in a re-centralisation of the system. Using an index of marketization in China since 1978, Zhang shows that overall, market expansion has continued but with diminishing marginal gains. The government control of financial resources that had previously been relaxed in the early years of reform has been enhanced to some extent as a result of the changing institutional environment. Policy makers dealing with China-related policies, researchers and postgraduate students in political science, economics and Chinese studies will find this book a compelling exploration of the current and constant cooperation and conflict between government and market

[ "['oek']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The institutional evolution of China : government vs market - Document Abstract: Contents: Preface -- 1. Introduction -- 2. Road to reform: 1949-1978 -- 3. Reform 1979-1989: how was the market created? -- 4. Reform and political coalition in 1990-2003 -- 5. Stagnation in 2003-2012 -- 6. The post reform period 2012-present -- 7. Lessons learned and long term expectations -- Reference -- Index. China's recent evolution is not only a story of extraordinary economic growth but also a story of great institutional change. Fan Zhang challenges traditional theory to explain the real origins of China's reform, the political and economic forces driving it, and the reasoning behind its stagnation. The institutional re-arrangement of government and market has been crucial in this marketization process. Using a wealth of documents and cases, Zhang provides a detailed analysis of China's institutional changes over the past 40 years, focusing on the government-market relationship. A theoretical framework is presented to explain the targets and incentives of government and business firms in a bureaucratic-market system, which promoted economic growth, but also fostered corruption and resulted in a re-centralisation of the system. Using an index of marketization in China since 1978, Zhang shows that overall, market expansion has continued but with diminishing marginal gains. The government control of financial resources that had previously been relaxed in the early years of reform has been enhanced to some extent as a result of the changing institutional environment. Policy makers dealing with China-related policies, researchers and postgraduate students in political science, economics and Chinese studies will find this book a compelling exploration of the current and constant cooperation and conflict between government and market - Document LIN Search class: ['oek'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1662355017.jsonld

The circular economy : a user's guide

The circular economy, roots and context -- Circularity, sustainability and labour in the circular industrial economy -- The circular industrial economy, a wealth of new opportunities -- The era of "R": the owner decides locally -- The era of "D": economic actors recovering resource assets decide -- The point of sale or factory gate, and liability -- The invisible liability loop, labour and the role of policy -- The performance economy, industry adopting the circular industrial economy as default option -- Radical innovation to enhance stock management -- Outlook.

[ "['oek']", "['cet']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The circular economy : a user's guide - Document Abstract: The circular economy, roots and context -- Circularity, sustainability and labour in the circular industrial economy -- The circular industrial economy, a wealth of new opportunities -- The era of "R": the owner decides locally -- The era of "D": economic actors recovering resource assets decide -- The point of sale or factory gate, and liability -- The invisible liability loop, labour and the role of policy -- The performance economy, industry adopting the circular industrial economy as default option -- Radical innovation to enhance stock management -- Outlook. - Document LIN Search class: ['oek'], ['cet'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A278216145.jsonld

Trotz allem ... : die deutschsprachigen Juden in Argentinien

"Valuable contribution to immigration history examines background, economic integration, degree of adaptation and/or assimilation, interaction with older Jewish groups, retention of culture and language, and social and cultural institutions of German-speaking Jews in Argentina. Covers three groups of refugees who entered Argentina between 1933-45: immigrants over 18, under 18, and immigrants' children born in Argentina or neighboring countries. The author, a psychologist specializing in gerontology, was assisted by social scientists and supported by Jewish organizations"--Handbook of Latin American Studies, v. 58

[ "['his']", "['geo']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Trotz allem ... : die deutschsprachigen Juden in Argentinien - Document Abstract: "Valuable contribution to immigration history examines background, economic integration, degree of adaptation and/or assimilation, interaction with older Jewish groups, retention of culture and language, and social and cultural institutions of German-speaking Jews in Argentina. Covers three groups of refugees who entered Argentina between 1933-45: immigrants over 18, under 18, and immigrants' children born in Argentina or neighboring countries. The author, a psychologist specializing in gerontology, was assisted by social scientists and supported by Jewish organizations"--Handbook of Latin American Studies, v. 58 - Document LIN Search class: ['his'], ['geo'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1693628023.jsonld

Nutraceuticals and human health : the food-to supplement paradigm

Nutraceuticals; Regulation of Nutraceuticals in Canada and the United States; Effects of Growing Conditions on Plant Medicinal Bioactives; Extraction Technologies for Plant Derived Nutraceuticals and Natural Health Products; Analytical Approaches for Characterization of Bioactives in Plant-based Natural Health & Food Products; Encapsulation of Nutraceuticals; Coffee and Solid Tumors; Nutraceuticals in Hematological Malignancies; Nutraceuticals as Metabolic Modulators for the Treatment of Obesity and Associated Diseases; Nutraceuticals in Neurodegenerative Diseases; Probiotic Supplements -- Basic Concepts of the Gut Microbiome and the Role of Probiotics to Sustain Health; Clinically-Relevant Herb-Drug Interactions: Current Status and Practical Considerations Nutraceuticals, a broad umbrella term used to describe any product derived from food sources with extra health benefits, is comprehensively covered in two themes: technical and biological considerations in this book for food scientists, food chemists and researchers in human nutrition

[ "['hor']", "['meda']", "['bio']", "['pae']", "['cet']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Nutraceuticals and human health : the food-to supplement paradigm - Document Abstract: Nutraceuticals; Regulation of Nutraceuticals in Canada and the United States; Effects of Growing Conditions on Plant Medicinal Bioactives; Extraction Technologies for Plant Derived Nutraceuticals and Natural Health Products; Analytical Approaches for Characterization of Bioactives in Plant-based Natural Health & Food Products; Encapsulation of Nutraceuticals; Coffee and Solid Tumors; Nutraceuticals in Hematological Malignancies; Nutraceuticals as Metabolic Modulators for the Treatment of Obesity and Associated Diseases; Nutraceuticals in Neurodegenerative Diseases; Probiotic Supplements -- Basic Concepts of the Gut Microbiome and the Role of Probiotics to Sustain Health; Clinically-Relevant Herb-Drug Interactions: Current Status and Practical Considerations Nutraceuticals, a broad umbrella term used to describe any product derived from food sources with extra health benefits, is comprehensively covered in two themes: technical and biological considerations in this book for food scientists, food chemists and researchers in human nutrition - Document LIN Search class: ['hor'], ['meda'], ['bio'], ['pae'], ['cet'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1029092044.jsonld

Polymer nanocomposites for advanced engineering and military applications

"This book provides the latest developments and research findings in the area of polymer nanocomposites. It also examines the recent advances in the fabrication methods, properties, and applications of various nano-fillers reinforced-polymeric matrix nanomaterials"--

[ "['fer']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Polymer nanocomposites for advanced engineering and military applications - Document Abstract: "This book provides the latest developments and research findings in the area of polymer nanocomposites. It also examines the recent advances in the fabrication methods, properties, and applications of various nano-fillers reinforced-polymeric matrix nanomaterials"-- - Document LIN Search class: ['fer'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A106689499X.jsonld

‘Ordering the infant’ : caring for newborns in early modern England

This chapter focuses on the specific forms of health care given to newborn babies in early modern England, a hitherto almost entirely neglected category in histories of health. Drawing on printed health advice and correspondence the chapter charts the various stages of the care offered to newborns, which was based on very specific management of the six non-naturals appropriate to their uniquely hot, damp constitutions, and fragile, malleable bodies. This care was determined particularly by attentive observation and physical ‘searching’ of the body. It was crucial to ensure first that all forms of ‘excretion’ were possible: whether via the mouth or the anal passage; whether excreting excessive moisture from the throat, stomach and brain through crying or removing excrements from the skin through wiping and bathing. Gentle forms of exercise were necessary and procured through crying, bathing or gentle rubbing of the skin. Excessive crying however endangered its health and carers were given advice on calming and soothing babies whilst sleep was of utmost importance, not only in terms of duration but also the baby’s position whilst sleeping

[ "['rest']", "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: ‘Ordering the infant’ : caring for newborns in early modern England - Document Abstract: This chapter focuses on the specific forms of health care given to newborn babies in early modern England, a hitherto almost entirely neglected category in histories of health. Drawing on printed health advice and correspondence the chapter charts the various stages of the care offered to newborns, which was based on very specific management of the six non-naturals appropriate to their uniquely hot, damp constitutions, and fragile, malleable bodies. This care was determined particularly by attentive observation and physical ‘searching’ of the body. It was crucial to ensure first that all forms of ‘excretion’ were possible: whether via the mouth or the anal passage; whether excreting excessive moisture from the throat, stomach and brain through crying or removing excrements from the skin through wiping and bathing. Gentle forms of exercise were necessary and procured through crying, bathing or gentle rubbing of the skin. Excessive crying however endangered its health and carers were given advice on calming and soothing babies whilst sleep was of utmost importance, not only in terms of duration but also the baby’s position whilst sleeping - Document LIN Search class: ['rest'], ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1018692800.jsonld

Handbook on european non-discrimination law

This handbook provides an overview of key aspects of non-discrimination law in Europe, with specific reference to the prohibition of discrimination provided in the Council of Europe’s European Convention on Human Rights (ECHR), as interpreted by the European Court of Human Rights (ECtHR), and the law of the European Union, as interpreted by the Court of Justice of the European Union (CJEU). The handbook acknowledges that the principle of non-discrimination is very important because it influences the enjoyment of all other human rights. The aim of non-discrimination law is to allow all individuals an equal and fair prospect to access opportunities available in a society. The handbook is designed to assist legal practitioners who are not specialised in the field of non-discrimination law, serving as an introduction to key issues involved. It is intended for lawyers, judges, prosecutors, social workers, as well as for persons who work with national authorities, non-governmental organisations (NGOs) and other bodies that deal with legal questions relating to issues of discrimination. The handbook may also be useful for legal research or public advocacy purposes. It is designed to permit practitioners to refer directly to specific sections/topics as required; it is not necessary to read the handbook as a whole. European non-discrimination law, as constituted in particular by the EU non-discrimination directives, and Article 14 of and Protocol 12 to the European Convention on Human Rights, prohibits discrimination across a range of contexts and grounds. This handbook examines European nondiscrimination law stemming from these two sources as complementary systems, drawing on them interchangeably to the extent that they overlap, while highlighting differences where these exist. It also contains references to other Council of Europe instruments, in particular the European Social Charter, as well as to relevant United Nations instruments. With the impressive body of case law by the European Court of Human Rights and the Court of Justice of the European Union in the non-discrimination field, it seems useful to present, in an accessible way, a handbook intended for legal practitioners – such as judges, prosecutors and lawyers, as well as lawenforcement officers – in the EU and Council of Europe member states and beyond.

[ "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Handbook on european non-discrimination law - Document Abstract: This handbook provides an overview of key aspects of non-discrimination law in Europe, with specific reference to the prohibition of discrimination provided in the Council of Europe’s European Convention on Human Rights (ECHR), as interpreted by the European Court of Human Rights (ECtHR), and the law of the European Union, as interpreted by the Court of Justice of the European Union (CJEU). The handbook acknowledges that the principle of non-discrimination is very important because it influences the enjoyment of all other human rights. The aim of non-discrimination law is to allow all individuals an equal and fair prospect to access opportunities available in a society. The handbook is designed to assist legal practitioners who are not specialised in the field of non-discrimination law, serving as an introduction to key issues involved. It is intended for lawyers, judges, prosecutors, social workers, as well as for persons who work with national authorities, non-governmental organisations (NGOs) and other bodies that deal with legal questions relating to issues of discrimination. The handbook may also be useful for legal research or public advocacy purposes. It is designed to permit practitioners to refer directly to specific sections/topics as required; it is not necessary to read the handbook as a whole. European non-discrimination law, as constituted in particular by the EU non-discrimination directives, and Article 14 of and Protocol 12 to the European Convention on Human Rights, prohibits discrimination across a range of contexts and grounds. This handbook examines European nondiscrimination law stemming from these two sources as complementary systems, drawing on them interchangeably to the extent that they overlap, while highlighting differences where these exist. It also contains references to other Council of Europe instruments, in particular the European Social Charter, as well as to relevant United Nations instruments. With the impressive body of case law by the European Court of Human Rights and the Court of Justice of the European Union in the non-discrimination field, it seems useful to present, in an accessible way, a handbook intended for legal practitioners – such as judges, prosecutors and lawyers, as well as lawenforcement officers – in the EU and Council of Europe member states and beyond. - Document LIN Search class: ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1742258387.jsonld

Financial accounting and reporting

Financial Accounting & Reporting is the book that helps students and professionals succeed in their studies and the workplace by providing practical support and clear principles for applying international standards and preparing financial statements

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Financial accounting and reporting - Document Abstract: Financial Accounting & Reporting is the book that helps students and professionals succeed in their studies and the workplace by providing practical support and clear principles for applying international standards and preparing financial statements - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A115702202.jsonld

An empire of their own : how the Jews invented Hollywood

A provocative, original, and richly entertaining group biography of the Jewish immigrants who were the moving forces behind the creation of America's motion picture industry. The names Harry Cohn, William Fox, Carl Laemmle, Louis B. Mayer, Jack and Harry Warner, and Adolph Zucker are giants in the history of contemporary Hollywood, outsiders who dared to invent their own vision of the American Dream. Even to this day, the American values defined largely by the movies of these émigrés endure in American cinema and culture. Who these men were, how they came to dominate Hollywood, and what they gained and lost in the process is the exhilarating story of An Empire of Their Own.

[ "['his']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: An empire of their own : how the Jews invented Hollywood - Document Abstract: A provocative, original, and richly entertaining group biography of the Jewish immigrants who were the moving forces behind the creation of America's motion picture industry. The names Harry Cohn, William Fox, Carl Laemmle, Louis B. Mayer, Jack and Harry Warner, and Adolph Zucker are giants in the history of contemporary Hollywood, outsiders who dared to invent their own vision of the American Dream. Even to this day, the American values defined largely by the movies of these émigrés endure in American cinema and culture. Who these men were, how they came to dominate Hollywood, and what they gained and lost in the process is the exhilarating story of An Empire of Their Own. - Document LIN Search class: ['his'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1619804204.jsonld

Sociolinguistics in Scotland

"This volume presents a comprehensive overview of sociolinguistic research in Scotland and showcases developments in sociolinguistic theory, method and application, highlighting Scotland's position as a valuable 'sociolinguistic laboratory'. Dealing with all levels of language, each chapter focuses on language use in different regions of Scotland, including Aberdeen, the Borders, Edinburgh, Fife, Glasgow and the Shetland Isles. Topics include the study of variation in towns on the Scottish-English border, the acquisition of variation by non-native speakers, lexical erosion in rural communities, and Gaelic and English code-switching. Other chapters focus on the history of sociolinguistic research in Scotland, the study of syntactic variation using the Scottish Corpus of Text and Speech, the influence of the media on language change, and changes in language attitudes in Shetland. "This volume presents a comprehensive overview of sociolinguistic research in Scotland and showcases developments in sociolinguistic theory, method and application, highlighting Scotland's position as a valuable 'sociolinguistic laboratory'. Dealing with all levels of language, each chapter focuses on language use in different regions of Scotland, including Aberdeen, the Borders, Edinburgh, Fife, Glasgow and the Shetland Isles. Topics include the study of variation in towns on the Scottish-English border, the acquisition of variation by non-native speakers, lexical erosion in rural communities, and Gaelic and English code-switching. Other chapters focus on the history of sociolinguistic research in Scotland, the study of syntactic variation using the Scottish Corpus of Text and Speech, the influence of the media on language change, and changes in language attitudes in Shetland. Bringing together chapters written by a range of international scholars, this book provides an insight into Scotland's contemporary sociolinguistic landscape and is a key resource for advanced students and researchers interested in language use in Scotland"--

[ "['lin']", "['lit']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Sociolinguistics in Scotland - Document Abstract: "This volume presents a comprehensive overview of sociolinguistic research in Scotland and showcases developments in sociolinguistic theory, method and application, highlighting Scotland's position as a valuable 'sociolinguistic laboratory'. Dealing with all levels of language, each chapter focuses on language use in different regions of Scotland, including Aberdeen, the Borders, Edinburgh, Fife, Glasgow and the Shetland Isles. Topics include the study of variation in towns on the Scottish-English border, the acquisition of variation by non-native speakers, lexical erosion in rural communities, and Gaelic and English code-switching. Other chapters focus on the history of sociolinguistic research in Scotland, the study of syntactic variation using the Scottish Corpus of Text and Speech, the influence of the media on language change, and changes in language attitudes in Shetland. "This volume presents a comprehensive overview of sociolinguistic research in Scotland and showcases developments in sociolinguistic theory, method and application, highlighting Scotland's position as a valuable 'sociolinguistic laboratory'. Dealing with all levels of language, each chapter focuses on language use in different regions of Scotland, including Aberdeen, the Borders, Edinburgh, Fife, Glasgow and the Shetland Isles. Topics include the study of variation in towns on the Scottish-English border, the acquisition of variation by non-native speakers, lexical erosion in rural communities, and Gaelic and English code-switching. Other chapters focus on the history of sociolinguistic research in Scotland, the study of syntactic variation using the Scottish Corpus of Text and Speech, the influence of the media on language change, and changes in language attitudes in Shetland. Bringing together chapters written by a range of international scholars, this book provides an insight into Scotland's contemporary sociolinguistic landscape and is a key resource for advanced students and researchers interested in language use in Scotland"-- - Document LIN Search class: ['lin'], ['lit'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A660149443.jsonld

Athenian democracy : a sourcebook

"This volume presents a wide range of literary and epigraphic sources on the history of the world's first democracy, offering a comprehensive survey of the key themes and principles of Athenian democratic culture. Beginning with the mythical origins of Athenian democracy under Theseus and describing the historical development of Athens' democratic institutions through Solon's reforms to the birth of democracy under Cleisthenes, the book addresses the wider cultural and social repercussions of the democratic system, concluding with a survey of Athenian democracy in the Hellenistic and Roman age. All sources are presented in translation with full annotation and commentary and each chapter opens with an introduction to provide background and direction for readers. Sources include material by Aristotle, Homer, Aristophanes, Herodotus, Thucydides, Cicero, Tacitus and many others. The volume also includes an A-Z of key terms, an annotated bibliography with suggestions for further reading in the primary sources as well as modern critical works on Athenian democracy, and a full index"--

[ "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Athenian democracy : a sourcebook - Document Abstract: "This volume presents a wide range of literary and epigraphic sources on the history of the world's first democracy, offering a comprehensive survey of the key themes and principles of Athenian democratic culture. Beginning with the mythical origins of Athenian democracy under Theseus and describing the historical development of Athens' democratic institutions through Solon's reforms to the birth of democracy under Cleisthenes, the book addresses the wider cultural and social repercussions of the democratic system, concluding with a survey of Athenian democracy in the Hellenistic and Roman age. All sources are presented in translation with full annotation and commentary and each chapter opens with an introduction to provide background and direction for readers. Sources include material by Aristotle, Homer, Aristophanes, Herodotus, Thucydides, Cicero, Tacitus and many others. The volume also includes an A-Z of key terms, an annotated bibliography with suggestions for further reading in the primary sources as well as modern critical works on Athenian democracy, and a full index"-- - Document LIN Search class: ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1839554991.jsonld

English academic writing : a guide for the humanities and social sciences

This book provides a wealth of help for anyone involved in research writing. The clear, lively text is supported by authentic examples, language ‘Makeovers’, ‘Toolboxes’ with language tips and ‘In brief’ mini-summaries. Each chapter ends with key ‘Takeaways’, and the book with a phrase bank.

[ "['lin']", "['pae']", "['lit']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: English academic writing : a guide for the humanities and social sciences - Document Abstract: This book provides a wealth of help for anyone involved in research writing. The clear, lively text is supported by authentic examples, language ‘Makeovers’, ‘Toolboxes’ with language tips and ‘In brief’ mini-summaries. Each chapter ends with key ‘Takeaways’, and the book with a phrase bank. - Document LIN Search class: ['lin'], ['pae'], ['lit'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1816939110.jsonld

New leadership imperatives

Leaders and their organizations do not operate in a vacuum but both influence and are influenced by the environment. Today's business organizations are fast moving, uncertain, politicized, sustainability challenged and technologically fluid. This business climate requires new approaches to leadership. Some leaders will rise to the occasion, while others will struggle to adapt. New Leadership Imperatives explores the new challenges of leadership and discusses how leaders can help their organizations to successfully adapt to new conditions. Drawing on lessons from various fields—from military to sports to psychology and neuroscience—this book delves into the challenges leaders face, ranging from social polarization to geopolitical instability. This book aims to guide leaders in making the right choices for their teams, their organizations, their stakeholders, and society as a whole

[ "['oek']", "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: New leadership imperatives - Document Abstract: Leaders and their organizations do not operate in a vacuum but both influence and are influenced by the environment. Today's business organizations are fast moving, uncertain, politicized, sustainability challenged and technologically fluid. This business climate requires new approaches to leadership. Some leaders will rise to the occasion, while others will struggle to adapt. New Leadership Imperatives explores the new challenges of leadership and discusses how leaders can help their organizations to successfully adapt to new conditions. Drawing on lessons from various fields—from military to sports to psychology and neuroscience—this book delves into the challenges leaders face, ranging from social polarization to geopolitical instability. This book aims to guide leaders in making the right choices for their teams, their organizations, their stakeholders, and society as a whole - Document LIN Search class: ['oek'], ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A156444435X.jsonld

The SAGE qualitative research kit / edited by Uwe Flick ; [3]: Doing ethnography

Ethnography is one of the chief research methods in sociology, anthropology and other cognate disciplines in the social sciences. --Amazon Introduction: the foundations of ethnography; Ethnography and research design; Sites, cases and participants; In the field: observation, conversation and documentation; Field roles and relationships; Managing and analyzing ethnographic data; Representation and the writing of ethnography; The future(s) of ethnography.

[ "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The SAGE qualitative research kit / edited by Uwe Flick ; [3]: Doing ethnography - Document Abstract: Ethnography is one of the chief research methods in sociology, anthropology and other cognate disciplines in the social sciences. --Amazon Introduction: the foundations of ethnography; Ethnography and research design; Sites, cases and participants; In the field: observation, conversation and documentation; Field roles and relationships; Managing and analyzing ethnographic data; Representation and the writing of ethnography; The future(s) of ethnography. - Document LIN Search class: ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A186379042X.jsonld

Advances in superhydrophobic coatings

"Superhydrophobic coatings have attracted substantial scientific research in recent years due to their real-world applications in a variety of fields including anti-corrosion, anti-icing, anti-fogging, oil separation and self-cleaning materials. Several approaches and methods have been used in developing superhydrophobic coatings on different substrates. This book guides readers through their fabrication and application, representing the latest significant advances in this important topic.Split into four sections, Part One concentrates on the fundamental principles of surface wettability and superhydrophobicity, before moving into Part Two and Part Three, which focus on different aspects of superhydrophobic coatings based on the materials used for fabrication and the substrate on which the coating is applied. Finally, Part Four focuses on the applications of these coatings. This book will serve as a valuable reference for graduate students, researchers and industrial practitioners in multiple industries working on surface wettability, materials chemistry and coatings related technologies." --

[ "['mas']", "['cet']", "['fer']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Advances in superhydrophobic coatings - Document Abstract: "Superhydrophobic coatings have attracted substantial scientific research in recent years due to their real-world applications in a variety of fields including anti-corrosion, anti-icing, anti-fogging, oil separation and self-cleaning materials. Several approaches and methods have been used in developing superhydrophobic coatings on different substrates. This book guides readers through their fabrication and application, representing the latest significant advances in this important topic.Split into four sections, Part One concentrates on the fundamental principles of surface wettability and superhydrophobicity, before moving into Part Two and Part Three, which focus on different aspects of superhydrophobic coatings based on the materials used for fabrication and the substrate on which the coating is applied. Finally, Part Four focuses on the applications of these coatings. This book will serve as a valuable reference for graduate students, researchers and industrial practitioners in multiple industries working on surface wettability, materials chemistry and coatings related technologies." -- - Document LIN Search class: ['mas'], ['cet'], ['fer'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A573118752.jsonld

An introduction to English sentence structure

This outstanding resource for students offers a step-by-step, practical introduction to English syntax and syntactic principles, as developed by Chomsky over the past 15 years. Assuming little or no prior background in syntax, Andrew Radford outlines the core concepts and how they can be used to describe various aspects of English sentence structure. This is an abridged version of Radford's major new textbook Analysing English Sentences (also published by Cambridge University Press), and will be welcomed as a handy introduction to current syntactic theory.

[ "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: An introduction to English sentence structure - Document Abstract: This outstanding resource for students offers a step-by-step, practical introduction to English syntax and syntactic principles, as developed by Chomsky over the past 15 years. Assuming little or no prior background in syntax, Andrew Radford outlines the core concepts and how they can be used to describe various aspects of English sentence structure. This is an abridged version of Radford's major new textbook Analysing English Sentences (also published by Cambridge University Press), and will be welcomed as a handy introduction to current syntactic theory. - Document LIN Search class: ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1851993495.jsonld

The politics of United States foreign policy

"The Politics of United States Foreign Policy helps students consider the players, processes, and politics that drive U.S. decisions and involvement in foreign policy. James Scott and Jerel Rosati emphasize that society, government, and global forces have a role to play in the struggle over competing values when it comes to foreign policymaking. The book discusses historical patterns, the president's ability to influence both at home and abroad, and the tension between democracy and national security. Now at CQ Press, the Eighth Edition has been updated to cover developments since the end of the Obama administration, the transition to the Trump administration, the challenges of changing international and domestic contexts, and the increasingly partisan political environment. The authors provide a comprehensive text that blends substance, theory, and stimulating analysis"--

[ "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The politics of United States foreign policy - Document Abstract: "The Politics of United States Foreign Policy helps students consider the players, processes, and politics that drive U.S. decisions and involvement in foreign policy. James Scott and Jerel Rosati emphasize that society, government, and global forces have a role to play in the struggle over competing values when it comes to foreign policymaking. The book discusses historical patterns, the president's ability to influence both at home and abroad, and the tension between democracy and national security. Now at CQ Press, the Eighth Edition has been updated to cover developments since the end of the Obama administration, the transition to the Trump administration, the challenges of changing international and domestic contexts, and the increasingly partisan political environment. The authors provide a comprehensive text that blends substance, theory, and stimulating analysis"-- - Document LIN Search class: ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1655449605.jsonld

Kac-Moody Groups, their Flag Varieties and Representation Theory

Kac-Moody Lie algebras 9 were introduced in the mid-1960s independently by V. Kac and R. Moody, generalizing the finite-dimensional semisimple Lie alge bras which we refer to as the finite case. The theory has undergone tremendous developments in various directions and connections with diverse areas abound, including mathematical physics, so much so that this theory has become a stan dard tool in mathematics. A detailed treatment of the Lie algebra aspect of the theory can be found in V. Kac's book [Kac-90l This self-contained work treats the algebro-geometric and the topological aspects of Kac-Moody theory from scratch. The emphasis is on the study of the Kac-Moody groups 9 and their flag varieties XY, including their detailed construction, and their applications to the representation theory of g. In the finite case, 9 is nothing but a semisimple Y simply-connected algebraic group and X is the flag variety 9 /Py for a parabolic subgroup p y C g. I. Kac-Moody Algebras: Basic Theory -- 1. Definition of Kac-Moody Algebras -- 2. Root Space Decomposition -- 3. Weyl Groups Associated to Kac-Moody Algebras -- 4. Dominant Chamber and Tits Cone -- 5. Invariant Bilinear Form and the Casimir Operator -- II. Representation Theory of Kac-Moody Algebras -- 1. Category $$\mathcal{O}$$ -- 2. Weyl-Kac Character Formula -- 3. Shapovalov Bilinear Form -- III. Lie Algebra Homology and Cohomology -- 1. Basic Definitions and Elementary Properties -- 2. Lie Algebra Homology of n-: Results of Kostant-Garland-Lepowsky -- 3. Decomposition of the Category $$\mathcal{O}$$ and some Ext Vanishing Results -- 4. Laplacian Calculation -- IV. An Introduction to ind-Varieties and pro-Groups -- 1. Ind-Varieties: Basic Definitions -- 2. Ind-Groups and their Lie Algebras -- 3. Smoothness of ind-Varieties -- 4. An Introduction to pro-Groups and pro-Lie Algebras -- V. Tits Systems: Basic Theory -- 1. An Introduction to Tits Systems -- 2. Refined Tits Systems -- VI. Kac-Moody Groups: Basic Theory -- 1. Definition of Kac-Moody Groups and Parabolic Subgroups -- 2. Representations of Kac-Moody Groups -- VII. Generalized Flag Varieties of Kac-Moody Groups -- 1. Generalized Flag Varieties: Ind-Variety Structure -- 2. Line Bundles on $${\mathcal{X}^Y}$$ -- 3. Study of the Group $${\mathcal{U}^ - }$$ -- 4. Study of the Group $${\mathcal{G}^{\min }}$$ Defined by Kac-Peterson -- VIII. Demazure and Weyl-Kac Character Formulas -- 1. Cohomology of Certain Line Bundles on $${Z_\mathfrak{w}}$$ -- 2. Normality of Schubert Varieties and the Demazure Character Formula -- 3. Extension of the Weyl-Kac Character Formula and the Borel-Weil-Bott Theorem -- IX. BGG and Kempf Resolutions -- 1. BGG Resolution: Algebraic Proof in the Symmetrizable Case -- 2. A Combinatorial Description of the BGG Resolution -- 3. Kempf Resolution -- X. Defining Equations of $$\mathcal{G}/\mathcal{P}$$ and Conjugacy Theorems -- 1. Quadratic Generation of Defining Ideals of $$\mathcal{G}/\mathcal{P}$$ in Projective Embeddings -- 2. Conjugacy Theorems for Lie Algebras -- 3. Conjugacy Theorems for Groups -- XI. Topology of Kac-Moody Groups and Their Flag Varieties -- 1. The Nil-Hecke Ring -- 2. Determination of $$\bar R$$ -- 3. T-equivariant Cohomology of $$\mathcal{G}/\mathcal{P}$$ -- 4. Positivity of the Cup Product in the Cohomology of Flag Varieties -- 5. Degeneracy of the Leray-Serre Spectral Sequence for the Fibration $${\mathcal{G}^{\min }} \to {\mathcal{G}^{\min }}/T$$ -- XII. Smoothness and Rational Smoothness of Schubert Varieties -- 1. Singular Locus of Schubert Varieties -- 2. Rational Smoothness of Schubert Varieties -- XIII. An Introduction to Affine Kac-Moody Lie Algebras and Groups -- 1. Affine Kac-Moody Lie Algebras -- 2. Affine Kac-Moody Groups -- Appendix A. Results from Algebraic Geometry -- Appendix B. Local Cohomology -- Appendix C. Results from Topology -- Appendix D. Relative Homological Algebra -- Appendix E. An Introduction to Spectral Sequences -- Index of Notation.

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Kac-Moody Groups, their Flag Varieties and Representation Theory - Document Abstract: Kac-Moody Lie algebras 9 were introduced in the mid-1960s independently by V. Kac and R. Moody, generalizing the finite-dimensional semisimple Lie alge bras which we refer to as the finite case. The theory has undergone tremendous developments in various directions and connections with diverse areas abound, including mathematical physics, so much so that this theory has become a stan dard tool in mathematics. A detailed treatment of the Lie algebra aspect of the theory can be found in V. Kac's book [Kac-90l This self-contained work treats the algebro-geometric and the topological aspects of Kac-Moody theory from scratch. The emphasis is on the study of the Kac-Moody groups 9 and their flag varieties XY, including their detailed construction, and their applications to the representation theory of g. In the finite case, 9 is nothing but a semisimple Y simply-connected algebraic group and X is the flag variety 9 /Py for a parabolic subgroup p y C g. I. Kac-Moody Algebras: Basic Theory -- 1. Definition of Kac-Moody Algebras -- 2. Root Space Decomposition -- 3. Weyl Groups Associated to Kac-Moody Algebras -- 4. Dominant Chamber and Tits Cone -- 5. Invariant Bilinear Form and the Casimir Operator -- II. Representation Theory of Kac-Moody Algebras -- 1. Category $$\mathcal{O}$$ -- 2. Weyl-Kac Character Formula -- 3. Shapovalov Bilinear Form -- III. Lie Algebra Homology and Cohomology -- 1. Basic Definitions and Elementary Properties -- 2. Lie Algebra Homology of n-: Results of Kostant-Garland-Lepowsky -- 3. Decomposition of the Category $$\mathcal{O}$$ and some Ext Vanishing Results -- 4. Laplacian Calculation -- IV. An Introduction to ind-Varieties and pro-Groups -- 1. Ind-Varieties: Basic Definitions -- 2. Ind-Groups and their Lie Algebras -- 3. Smoothness of ind-Varieties -- 4. An Introduction to pro-Groups and pro-Lie Algebras -- V. Tits Systems: Basic Theory -- 1. An Introduction to Tits Systems -- 2. Refined Tits Systems -- VI. Kac-Moody Groups: Basic Theory -- 1. Definition of Kac-Moody Groups and Parabolic Subgroups -- 2. Representations of Kac-Moody Groups -- VII. Generalized Flag Varieties of Kac-Moody Groups -- 1. Generalized Flag Varieties: Ind-Variety Structure -- 2. Line Bundles on $${\mathcal{X}^Y}$$ -- 3. Study of the Group $${\mathcal{U}^ - }$$ -- 4. Study of the Group $${\mathcal{G}^{\min }}$$ Defined by Kac-Peterson -- VIII. Demazure and Weyl-Kac Character Formulas -- 1. Cohomology of Certain Line Bundles on $${Z_\mathfrak{w}}$$ -- 2. Normality of Schubert Varieties and the Demazure Character Formula -- 3. Extension of the Weyl-Kac Character Formula and the Borel-Weil-Bott Theorem -- IX. BGG and Kempf Resolutions -- 1. BGG Resolution: Algebraic Proof in the Symmetrizable Case -- 2. A Combinatorial Description of the BGG Resolution -- 3. Kempf Resolution -- X. Defining Equations of $$\mathcal{G}/\mathcal{P}$$ and Conjugacy Theorems -- 1. Quadratic Generation of Defining Ideals of $$\mathcal{G}/\mathcal{P}$$ in Projective Embeddings -- 2. Conjugacy Theorems for Lie Algebras -- 3. Conjugacy Theorems for Groups -- XI. Topology of Kac-Moody Groups and Their Flag Varieties -- 1. The Nil-Hecke Ring -- 2. Determination of $$\bar R$$ -- 3. T-equivariant Cohomology of $$\mathcal{G}/\mathcal{P}$$ -- 4. Positivity of the Cup Product in the Cohomology of Flag Varieties -- 5. Degeneracy of the Leray-Serre Spectral Sequence for the Fibration $${\mathcal{G}^{\min }} \to {\mathcal{G}^{\min }}/T$$ -- XII. Smoothness and Rational Smoothness of Schubert Varieties -- 1. Singular Locus of Schubert Varieties -- 2. Rational Smoothness of Schubert Varieties -- XIII. An Introduction to Affine Kac-Moody Lie Algebras and Groups -- 1. Affine Kac-Moody Lie Algebras -- 2. Affine Kac-Moody Groups -- Appendix A. Results from Algebraic Geometry -- Appendix B. Local Cohomology -- Appendix C. Results from Topology -- Appendix D. Relative Homological Algebra -- Appendix E. An Introduction to Spectral Sequences -- Index of Notation. - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1867655195.jsonld

MINT-Bildung im Primarbereich : Qualität im Unterricht zu MINT-Themen stärken

The sixteenth volume of the publication series of the "Haus der kleinen Forscher" Foundation, with a foreword by Andreas Hartinger, presents three contributions that were written as part of the PRIMA!2023 project to provide a professional foundation for the Foundation's work in the primary sector. The content focuses on the one hand on the quality of STEM lessons and on the other hand on the question of how teachers should be trained in order to be able to plan and implement good STEM lessons. Der sechzehnte Band der Schriftenreihe der Stiftung „Haus der kleinen Forscher“ stellt drei Beiträge vor, die im Rahmen des Projektes PRIMA!2023 zur fachlichen Fundierung der Stiftungsarbeit im Primarbereich entstanden sind. Inhaltliche Schwerpunkte sind einerseits die Qualität von MINT-Unterricht und anderseits die Frage, wie Lehrkräfte fortgebildet werden sollten, um guten MINT-Unterricht planen und durchführen zu können.

[ "['pae']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: MINT-Bildung im Primarbereich : Qualität im Unterricht zu MINT-Themen stärken - Document Abstract: The sixteenth volume of the publication series of the "Haus der kleinen Forscher" Foundation, with a foreword by Andreas Hartinger, presents three contributions that were written as part of the PRIMA!2023 project to provide a professional foundation for the Foundation's work in the primary sector. The content focuses on the one hand on the quality of STEM lessons and on the other hand on the question of how teachers should be trained in order to be able to plan and implement good STEM lessons. Der sechzehnte Band der Schriftenreihe der Stiftung „Haus der kleinen Forscher“ stellt drei Beiträge vor, die im Rahmen des Projektes PRIMA!2023 zur fachlichen Fundierung der Stiftungsarbeit im Primarbereich entstanden sind. Inhaltliche Schwerpunkte sind einerseits die Qualität von MINT-Unterricht und anderseits die Frage, wie Lehrkräfte fortgebildet werden sollten, um guten MINT-Unterricht planen und durchführen zu können. - Document LIN Search class: ['pae'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A165540427X.jsonld

Understanding Analysis

Introduction to the Problems in Analysis outlines an elementary, one semester course which exposes students to both the process of rigor, and the rewards inherent in taking an axiomatic approach to the study of functions of a real variable. The aim of a course in real analysis should be to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination. Does the Cantor set contain any irrational numbers? Can the set of points where a function is discontinuous be arbitrary? Can the rational numbers be written as a countable intersection of open sets? Is an infinitely differentiable function necessarily the limit of its Taylor series? Giving these topics center stage, the motivation for a rigorous approach is justified by the fact that they are inaccessible without it

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Understanding Analysis - Document Abstract: Introduction to the Problems in Analysis outlines an elementary, one semester course which exposes students to both the process of rigor, and the rewards inherent in taking an axiomatic approach to the study of functions of a real variable. The aim of a course in real analysis should be to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination. Does the Cantor set contain any irrational numbers? Can the set of points where a function is discontinuous be arbitrary? Can the rational numbers be written as a countable intersection of open sets? Is an infinitely differentiable function necessarily the limit of its Taylor series? Giving these topics center stage, the motivation for a rigorous approach is justified by the fact that they are inaccessible without it - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1652142231.jsonld

Formation of the Solar System : A New Theory of the Creation and Decay of the Celestial Bodies

Analysis of the orbital motion of the Earth, the Moon and other planets and their satellites led to the discovery that all bodies in the Solar System are moving with the first cosmic velocity of their protoparents. The mean orbital velocity of each planet is equal to the first cosmic velocity of the Protosun, the radius of which is equal to the semi-major axis of the planet’s orbit. The same applies for the planets’ satellites. All the small planets, comets, other bodies and the Sun itself follow this law, a finding that has also been proven by astronomical observations. The theoretical solutions based on the Jacobi dynamics explain the process of the system creation and decay, as well as the nature of Kepler’s laws

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Formation of the Solar System : A New Theory of the Creation and Decay of the Celestial Bodies - Document Abstract: Analysis of the orbital motion of the Earth, the Moon and other planets and their satellites led to the discovery that all bodies in the Solar System are moving with the first cosmic velocity of their protoparents. The mean orbital velocity of each planet is equal to the first cosmic velocity of the Protosun, the radius of which is equal to the semi-major axis of the planet’s orbit. The same applies for the planets’ satellites. All the small planets, comets, other bodies and the Sun itself follow this law, a finding that has also been proven by astronomical observations. The theoretical solutions based on the Jacobi dynamics explain the process of the system creation and decay, as well as the nature of Kepler’s laws - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1751553825.jsonld

The obsolete Empire : untimely belonging in twentieth-century British literature

"This book shows that a large part of the British empire's history took place in the minds of distant readers who were by turns inspired, entranced, and agonized by English literature"--

[ "['his']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The obsolete Empire : untimely belonging in twentieth-century British literature - Document Abstract: "This book shows that a large part of the British empire's history took place in the minds of distant readers who were by turns inspired, entranced, and agonized by English literature"-- - Document LIN Search class: ['his'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A83826154X.jsonld

Narrative Form

This revised and expanded handbook concisely introduces narrative form to advanced students of fiction and creative writing, with refreshed references and new discussions of cognitive approaches to narrative, nonfiction, and narrative emotions

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Narrative Form - Document Abstract: This revised and expanded handbook concisely introduces narrative form to advanced students of fiction and creative writing, with refreshed references and new discussions of cognitive approaches to narrative, nonfiction, and narrative emotions - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1652994033.jsonld

A Mathematical Introduction to Compressive Sensing

1 An Invitation to Compressive Sensing -- 2 Sparse Solutions of Underdetermined Systems -- 3 Basic Algorithms -- 4 Basis Pursuit -- 5 Coherence -- 6 Restricted Isometry Property -- 7 Basic Tools from Probability Theory -- 8 Advanced Tools from Probability Theory -- 9 Sparse Recovery with Random Matrices -- 10 Gelfand Widths of l1-Balls -- 11 Instance Optimality and Quotient Property -- 12 Random Sampling in Bounded Orthonormal Systems -- 13 Lossless Expanders in Compressive Sensing -- 14 Recovery of Random Signals using Deterministic Matrices -- 15 Algorithms for l1-Minimization -- Appendix A Matrix Analysis -- Appendix B Convex Analysis -- Appendix C Miscellanea -- List of Symbols -- References. At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians. A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. Key features include: · The first textbook completely devoted to the topic of compressive sensing · Comprehensive treatment of the subject, including background material from probability theory, detailed proofs of the main theorems, and an outline of possible applications · Numerous exercises designed to help students understand the material · An extensive bibliography with over 500 references that guide researchers through the literature With only moderate prerequisites, A Mathematical Introduction to Compressive Sensing is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject.

[ "['mat']", "['tec']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: A Mathematical Introduction to Compressive Sensing - Document Abstract: 1 An Invitation to Compressive Sensing -- 2 Sparse Solutions of Underdetermined Systems -- 3 Basic Algorithms -- 4 Basis Pursuit -- 5 Coherence -- 6 Restricted Isometry Property -- 7 Basic Tools from Probability Theory -- 8 Advanced Tools from Probability Theory -- 9 Sparse Recovery with Random Matrices -- 10 Gelfand Widths of l1-Balls -- 11 Instance Optimality and Quotient Property -- 12 Random Sampling in Bounded Orthonormal Systems -- 13 Lossless Expanders in Compressive Sensing -- 14 Recovery of Random Signals using Deterministic Matrices -- 15 Algorithms for l1-Minimization -- Appendix A Matrix Analysis -- Appendix B Convex Analysis -- Appendix C Miscellanea -- List of Symbols -- References. At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians. A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. Key features include: · The first textbook completely devoted to the topic of compressive sensing · Comprehensive treatment of the subject, including background material from probability theory, detailed proofs of the main theorems, and an outline of possible applications · Numerous exercises designed to help students understand the material · An extensive bibliography with over 500 references that guide researchers through the literature With only moderate prerequisites, A Mathematical Introduction to Compressive Sensing is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. - Document LIN Search class: ['mat'], ['tec'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A470528184.jsonld

EHR implementation : a step-by-step guide for the medical practice

"A how-to-guide to the process of researching, selecting, negotiating, and implementing an electronic health record"--Provided by publisher

[ "['meda']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: EHR implementation : a step-by-step guide for the medical practice - Document Abstract: "A how-to-guide to the process of researching, selecting, negotiating, and implementing an electronic health record"--Provided by publisher - Document LIN Search class: ['meda'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A845896350.jsonld

Capital account liberalization and financial sector stability

This paper analyzes the linkages between capital account liberalization and other policies influencing financial sector stability. Drawing on country experiences, the paper develops an operational framework for sequencing and coordinating capital account liberalization with other policies aimed at maintaining financial sector stability. Based on the general principles, a methodology for sequencing capital account liberalization is presented in this paper. This methodology, which is illustrated by an example, involves an assessment of capital controls and macroeconomic and financial sector vulnerabilities, and the design of a plan for sequencing capital account liberalization with financial sector reforms and other policies. Financial systems that have been weakened by inappropriate government involvement also face additional risks when operating in international financial markets. The absence of significant macroeconomic imbalances and the high level of official international reserves at the outset of the crisis also appear to be important factors preventing a full-blown exchange crisis. Nevertheless, the prolongation of the crisis lowered economic growth and ultimately led to a recession and increased the total cost of the crisis resolution

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Capital account liberalization and financial sector stability - Document Abstract: This paper analyzes the linkages between capital account liberalization and other policies influencing financial sector stability. Drawing on country experiences, the paper develops an operational framework for sequencing and coordinating capital account liberalization with other policies aimed at maintaining financial sector stability. Based on the general principles, a methodology for sequencing capital account liberalization is presented in this paper. This methodology, which is illustrated by an example, involves an assessment of capital controls and macroeconomic and financial sector vulnerabilities, and the design of a plan for sequencing capital account liberalization with financial sector reforms and other policies. Financial systems that have been weakened by inappropriate government involvement also face additional risks when operating in international financial markets. The absence of significant macroeconomic imbalances and the high level of official international reserves at the outset of the crisis also appear to be important factors preventing a full-blown exchange crisis. Nevertheless, the prolongation of the crisis lowered economic growth and ultimately led to a recession and increased the total cost of the crisis resolution - Document LIN Search class: ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A102344691X.jsonld

China and its regions : economic growth and reform in Chinese provinces

In twenty years of reform in China, the key development has been the opening-up of the market to foreign trade and international investment. This increased economic openness has been accompanied by profound changes in both economic organisation and regional disparity. This comprehensive book focuses on the link between these economic reforms and the causes--and ultimately the implications--of regional inequalities in the most populous country in the world 1. On the measurement of the openness of the Chinese economy -- 2. Social consequences of economic reform in China : an analysis of regional disparity in the transition period -- 3. Provincial economic growth in China : causes and consequences of regional differentiation -- 4. International trade and regional specialization in China -- 5. Productivity growth, catch-up and convergence in China's reforming economy -- 6. The impact of WTO accession on income disparity in China -- 7. Changes in income inequality in China's transition -- 8. Infant mortality and external openness in Chinese provinces -- 9. The regional distribution of foreign direct investment in China : the impact of human capital -- 10. Foreign direct investment, human capital and catching up : the Chinese case -- 11. Some observations on the ownership and regional aspects in financing the growth of China's rural enterprises -- 12. Exports and economic performance : evidence from a panel of Chinese enterprises -- 13. Real exchange rate and income disparity between urban and rural areas in China : a theoretic and econometric analysis

[ "['oek']", "['sow']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: China and its regions : economic growth and reform in Chinese provinces - Document Abstract: In twenty years of reform in China, the key development has been the opening-up of the market to foreign trade and international investment. This increased economic openness has been accompanied by profound changes in both economic organisation and regional disparity. This comprehensive book focuses on the link between these economic reforms and the causes--and ultimately the implications--of regional inequalities in the most populous country in the world 1. On the measurement of the openness of the Chinese economy -- 2. Social consequences of economic reform in China : an analysis of regional disparity in the transition period -- 3. Provincial economic growth in China : causes and consequences of regional differentiation -- 4. International trade and regional specialization in China -- 5. Productivity growth, catch-up and convergence in China's reforming economy -- 6. The impact of WTO accession on income disparity in China -- 7. Changes in income inequality in China's transition -- 8. Infant mortality and external openness in Chinese provinces -- 9. The regional distribution of foreign direct investment in China : the impact of human capital -- 10. Foreign direct investment, human capital and catching up : the Chinese case -- 11. Some observations on the ownership and regional aspects in financing the growth of China's rural enterprises -- 12. Exports and economic performance : evidence from a panel of Chinese enterprises -- 13. Real exchange rate and income disparity between urban and rural areas in China : a theoretic and econometric analysis - Document LIN Search class: ['oek'], ['sow'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A600403300.jsonld

Investor relations : principles and international best practices of financial communications

This practical guide on the theory and practice of Investor Relations combines the art and science of marketing, financial analysis and financial communications in a single source. It offers expert advice and helpful tips to be used in real business life by corporate executives, financial analysts, students, and anyone competing for capital

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Investor relations : principles and international best practices of financial communications - Document Abstract: This practical guide on the theory and practice of Investor Relations combines the art and science of marketing, financial analysis and financial communications in a single source. It offers expert advice and helpful tips to be used in real business life by corporate executives, financial analysts, students, and anyone competing for capital - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A790517310.jsonld

The Routledge international handbook of dyscalculia and mathematical learning difficulties

"Mathematics plays an important part in every person's life, so why isn't everyone good at it? The Routledge International Handbook of Dyscalculia and Mathematical Learning Difficulties brings together commissioned pieces by a range of hand-picked influential, international authors from a variety of disciplines, all of whom share a high public profile. More than fifty experts write about mathematics learning difficulties and disabilities from a range of perspectives and answer questions such as: What are mathematics learning difficulties and disabilities? What are the key skills and concepts for learning mathematics? How will IT help, now and in the future? What is the role of language and vocabulary? How should we teach mathematics? By posing notoriously difficult questions such as these and studying the answers The Routledge International Handbook of Dyscalculia and Mathematical Learning Difficulties is the authoritative volume and is essential reading for academics in the field of mathematics. It is an incredibly important contribution to the study of dyscalculia and mathematical difficulties in children and young adults"--

[ "['mat']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Routledge international handbook of dyscalculia and mathematical learning difficulties - Document Abstract: "Mathematics plays an important part in every person's life, so why isn't everyone good at it? The Routledge International Handbook of Dyscalculia and Mathematical Learning Difficulties brings together commissioned pieces by a range of hand-picked influential, international authors from a variety of disciplines, all of whom share a high public profile. More than fifty experts write about mathematics learning difficulties and disabilities from a range of perspectives and answer questions such as: What are mathematics learning difficulties and disabilities? What are the key skills and concepts for learning mathematics? How will IT help, now and in the future? What is the role of language and vocabulary? How should we teach mathematics? By posing notoriously difficult questions such as these and studying the answers The Routledge International Handbook of Dyscalculia and Mathematical Learning Difficulties is the authoritative volume and is essential reading for academics in the field of mathematics. It is an incredibly important contribution to the study of dyscalculia and mathematical difficulties in children and young adults"-- - Document LIN Search class: ['mat'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1646601580.jsonld

Endoscopic Anatomy of the Third Ventricle : Microsurgical and Endoscopic Approaches

An illustrated atlas of anatomical aspects important for combinations of microsurgical and endoscopic approaches. The basis for Professor Seeger's renowned drawings has been anatomical preparations, cadaver dissections and intraoperative pictures. The correct proportions are derived by measuring the distances of anatomical landmarks of cranial preparations and from CT and MR Images. A concise text supports the understanding of the anatomical figures.Numerous common anatomical variants are demonstrated with reference to their impact for the surgical technique. In this atlas anatomical aspects important for combinations of microsurgical and endoscopic approaches are presented and illustrated. Modern imaging techniques are necessary for the three-dimensional orientation but do not show enough details for endoscopic interventions. The small visual fields need a combination of the depiction of fine details and of the three-dimensional presentation of large areas. Furthermore, problems with little known anatomical standard variants of the target areas may arise. Therefore, numerous common anatomical variants are demonstrated with reference to their impact for the surgical technique. The basis for Professor Seeger's well known drawings have been anatomical preparations, cadaver dissections and intraoperative pictures. The correct proportions are derived by measuring the distances of anatomical landmarks of cranial preparations and from CT and MR Images. The concise text supports the understanding of the anatomical figures.

[ "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Endoscopic Anatomy of the Third Ventricle : Microsurgical and Endoscopic Approaches - Document Abstract: An illustrated atlas of anatomical aspects important for combinations of microsurgical and endoscopic approaches. The basis for Professor Seeger's renowned drawings has been anatomical preparations, cadaver dissections and intraoperative pictures. The correct proportions are derived by measuring the distances of anatomical landmarks of cranial preparations and from CT and MR Images. A concise text supports the understanding of the anatomical figures.Numerous common anatomical variants are demonstrated with reference to their impact for the surgical technique. In this atlas anatomical aspects important for combinations of microsurgical and endoscopic approaches are presented and illustrated. Modern imaging techniques are necessary for the three-dimensional orientation but do not show enough details for endoscopic interventions. The small visual fields need a combination of the depiction of fine details and of the three-dimensional presentation of large areas. Furthermore, problems with little known anatomical standard variants of the target areas may arise. Therefore, numerous common anatomical variants are demonstrated with reference to their impact for the surgical technique. The basis for Professor Seeger's well known drawings have been anatomical preparations, cadaver dissections and intraoperative pictures. The correct proportions are derived by measuring the distances of anatomical landmarks of cranial preparations and from CT and MR Images. The concise text supports the understanding of the anatomical figures. - Document LIN Search class: ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A805548025.jsonld

The comic book film adaptation : exploring modern Hollywood's leading genre

"In the summer of 2000 X-Men surpassed all box office expectations and ushered in an era of unprecedented production of comic book film adaptations. This trend, now in its second decade, has blossomed into Hollywood's leading genre. From superheroes to Spartan warriors, The Comic Book Film Adaptation offers the first dedicated study to examine how comic books moved from the fringes of popular culture to the center of mainstream film production. Through in-depth analysis, industry interviews, and audience research, this book charts the cause-and-effect of this influential trend. It considers the cultural traumas, business demands, and digital possibilities that Hollywood faced at the dawn of the twenty-first century. The industry managed to meet these challenges by exploiting comics and their existing audiences. However, studios were caught off-guard when these comic book fans, empowered by digital media, began to influence the success of these adaptations. Nonetheless, filmmakers soon developed strategies to take advantage of this intense fanbase, while codifying the trend into a more lucrative genre, the comic book movie, which appealed to an even wider audience. Central to this vibrant trend is a comic aesthetic in which filmmakers utilize digital filmmaking technologies to engage with the language and conventions of comics like never before.The Comic Book Film Adaptation explores this unique moment in which cinema is stimulated, challenged, and enriched by the once-dismissed medium of comics"--

[ "['rest']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The comic book film adaptation : exploring modern Hollywood's leading genre - Document Abstract: "In the summer of 2000 X-Men surpassed all box office expectations and ushered in an era of unprecedented production of comic book film adaptations. This trend, now in its second decade, has blossomed into Hollywood's leading genre. From superheroes to Spartan warriors, The Comic Book Film Adaptation offers the first dedicated study to examine how comic books moved from the fringes of popular culture to the center of mainstream film production. Through in-depth analysis, industry interviews, and audience research, this book charts the cause-and-effect of this influential trend. It considers the cultural traumas, business demands, and digital possibilities that Hollywood faced at the dawn of the twenty-first century. The industry managed to meet these challenges by exploiting comics and their existing audiences. However, studios were caught off-guard when these comic book fans, empowered by digital media, began to influence the success of these adaptations. Nonetheless, filmmakers soon developed strategies to take advantage of this intense fanbase, while codifying the trend into a more lucrative genre, the comic book movie, which appealed to an even wider audience. Central to this vibrant trend is a comic aesthetic in which filmmakers utilize digital filmmaking technologies to engage with the language and conventions of comics like never before.The Comic Book Film Adaptation explores this unique moment in which cinema is stimulated, challenged, and enriched by the once-dismissed medium of comics"-- - Document LIN Search class: ['rest'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1664824251.jsonld

Innovations and challenges in applied linguistics from the global South

Series editor introduction -- Preface -- Acknowledgements -- 1. Introduction: Gazing from the South -- 2. The making of the South in applied linguistics -- 3. Southern multilingualisms -- 4. Language endangerment, vitality and reclamation -- 5. Decolonizing language in education -- 6. Challenging the Northern research gaze -- 7. Applied linguistics from a Southern perspective -- References -- Index.

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Innovations and challenges in applied linguistics from the global South - Document Abstract: Series editor introduction -- Preface -- Acknowledgements -- 1. Introduction: Gazing from the South -- 2. The making of the South in applied linguistics -- 3. Southern multilingualisms -- 4. Language endangerment, vitality and reclamation -- 5. Decolonizing language in education -- 6. Challenging the Northern research gaze -- 7. Applied linguistics from a Southern perspective -- References -- Index. - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1653172592.jsonld

Nevanlinna Theory in Several Complex Variables and Diophantine Approximation

The aim of this book is to provide a comprehensive account of higher dimensional Nevanlinna theory and its relations with Diophantine approximation theory for graduate students and interested researchers. This book with nine chapters systematically describes Nevanlinna theory of meromorphic maps between algebraic varieties or complex spaces, building up from the classical theory of meromorphic functions on the complex plane with full proofs in Chap. 1 to the current state of research. Chapter 2 presents the First Main Theorem for coherent ideal sheaves in a very general form. With the preparation of plurisubharmonic functions, how the theory to be generalized in a higher dimension is described. In Chap. 3 the Second Main Theorem for differentiably non-degenerate meromorphic maps by Griffiths and others is proved as a prototype of higher dimensional Nevanlinna theory. Establishing such a Second Main Theorem for entire curves in general complex algebraic varieties is a wide-open problem. In Chap. 4, the Cartan-Nochka Second Main Theorem in the linear projective case and the Logarithmic Bloch-Ochiai Theorem in the case of general algebraic varieties are proved. Then the theory of entire curves in semi-abelian varieties, including the Second Main Theorem of Noguchi-Winkelmann-Yamanoi, is dealt with in full details in Chap. 6. For that purpose Chap. 5 is devoted to the notion of semi-abelian varieties. The result leads to a number of applications. With these results, the Kobayashi hyperbolicity problems are discussed in Chap. 7. In the last two chapters Diophantine approximation theory is dealt with from the viewpoint of higher dimensional Nevanlinna theory, and the Lang-Vojta conjecture is confirmed in some cases. In Chap. 8 the theory over function fields is discussed. Finally, in Chap. 9, the theorems of Roth, Schmidt, Faltings, and Vojta over number fields are presented and formulated in view of Nevanlinna theory with results motivated by those in Chaps. 4, 6, and 7 Nevanlinna Theory of Meromorphic Functions -- First Main Theorem -- Differentiably Non-Degenerate Meromorphic Maps -- Entire Curves into Algebraic Varieties -- Semi-Abelian Varieties -- Entire Curves into Semi-Abelian Varieties -- Kobayashi Hyperbolicity -- Nevanlinna Theory over Function Fields -- Diophantine Approximation -- Bibliography -- Index -- Symbols

[ "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Nevanlinna Theory in Several Complex Variables and Diophantine Approximation - Document Abstract: The aim of this book is to provide a comprehensive account of higher dimensional Nevanlinna theory and its relations with Diophantine approximation theory for graduate students and interested researchers. This book with nine chapters systematically describes Nevanlinna theory of meromorphic maps between algebraic varieties or complex spaces, building up from the classical theory of meromorphic functions on the complex plane with full proofs in Chap. 1 to the current state of research. Chapter 2 presents the First Main Theorem for coherent ideal sheaves in a very general form. With the preparation of plurisubharmonic functions, how the theory to be generalized in a higher dimension is described. In Chap. 3 the Second Main Theorem for differentiably non-degenerate meromorphic maps by Griffiths and others is proved as a prototype of higher dimensional Nevanlinna theory. Establishing such a Second Main Theorem for entire curves in general complex algebraic varieties is a wide-open problem. In Chap. 4, the Cartan-Nochka Second Main Theorem in the linear projective case and the Logarithmic Bloch-Ochiai Theorem in the case of general algebraic varieties are proved. Then the theory of entire curves in semi-abelian varieties, including the Second Main Theorem of Noguchi-Winkelmann-Yamanoi, is dealt with in full details in Chap. 6. For that purpose Chap. 5 is devoted to the notion of semi-abelian varieties. The result leads to a number of applications. With these results, the Kobayashi hyperbolicity problems are discussed in Chap. 7. In the last two chapters Diophantine approximation theory is dealt with from the viewpoint of higher dimensional Nevanlinna theory, and the Lang-Vojta conjecture is confirmed in some cases. In Chap. 8 the theory over function fields is discussed. Finally, in Chap. 9, the theorems of Roth, Schmidt, Faltings, and Vojta over number fields are presented and formulated in view of Nevanlinna theory with results motivated by those in Chaps. 4, 6, and 7 Nevanlinna Theory of Meromorphic Functions -- First Main Theorem -- Differentiably Non-Degenerate Meromorphic Maps -- Entire Curves into Algebraic Varieties -- Semi-Abelian Varieties -- Entire Curves into Semi-Abelian Varieties -- Kobayashi Hyperbolicity -- Nevanlinna Theory over Function Fields -- Diophantine Approximation -- Bibliography -- Index -- Symbols - Document LIN Search class: ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1014484340.jsonld

Routledge handbook of diaspora studies

"The word 'diaspora' has leapt from its previously confined use - mainly concerned with the dispersion of Jews, Greeks, Armenians and Africans away from their natal homelands - to cover the cases of many other ethnic groups, nationalities and religions. But this 'horizontal' scattering of the word to cover the mobility of many groups to many destinations, has been paralleled also by 'vertical' leaps, with the word diaspora being deployed to cover more and more phenomena and serve more and more objectives of different actors. With sections on 'debating the concept', 'complexity', 'home and home-making', 'connections' and 'critiques', the Routledge Handbook of Diaspora Studies is likely to remain an authoritative reference for some time. Each contribution includes a targeted list of references for further reading. The editors have carefully blended established scholars of diaspora with younger scholars looking at how diasporas are constructed 'from below'. The adoption of a variety of conceptual perspectives allows for generalization, contrasts and comparisons between cases. In this exciting and authoritative collection over 40 scholars from many countries have explored the evolving use of the concept of diaspora, its possibilities as well as its limitations. This Handbook will be indispensable for students undertaking essays, debates and dissertations in the field"-- Diaspora before it became a concept / Stephane Dufoix -- Diaspora studies : past, present and promise / Khachig Tölölyan -- Key methodological tools for diaspora studies : combining the transnational and intersectional approaches / Anna Amelina and Karolina Barglowski -- The social construction of diasporas : conceptual development and the Rwandan case / Simon Turner -- Diasporas as social movements? / Sharon M. Quinsaat -- Performing diaspora / Alpha Abebe -- Embodying belonging : diaspora's racialization and cultural citizenship / Taku Suzuki -- Music, dance and diaspora / Ananya Jahanara Kabir -- Diasporic filmmaking in Europe / Daniela Berghahn -- Writing in diaspora / Zuzanna Olszewska -- Making and "faking" a diasporic heritage / Marc Scully -- Translanguaging and diasporic imagination / Zhu Hua and Li Wei -- Multi-religious diasporas : rethinking the relationship between religion and diaspora / Dominic Pasura -- Homelessness and statelessness : possibilities and perils / Barzoo Eliassi -- Diaspora and class, class and diaspora / Nicholas Van Hear -- Working-class cosmopolitans and diaspora / Pnina Werbner -- Transversal crossings and diasporic intersections / Amanda Wise -- Intersectionalizing diaspora studies / Marie Godin -- Bridging the mobility-sedentarism and agency-structure dichotomies in diasporic return migration / Nanor Karageozian -- Unravelling the conceptual link between transnationalism and diaspora : hometown networks / Thomas Lacroix -- Deportees as "reverse diasporas" / Shahram Khosravi -- Diasporicity : relative embeddedness in transnational and co-ethnic networks / Takeyuki (Gaku) Tsuda -- Moral comforts of remaining in exile : snapshots from conflict-generated Indonesian diasporas / Antje Missbach -- Islamic schooling and the second generation: a diaspora perspective / Hanna Höchner -- Diaspora and home : interrogating embodied precarity in an era of forced displacement / Divya P. Tolia-Kelly -- Diasporas and political obligation / Ilan Zvi Baron -- Diaspora and religion : connecting and disconnecting / Giulia Liberatore and Leslie Fesenmyer -- Digital diasporas / Mihaela Nedelcu -- Diaspora politics and political remittances : a conceptual reflection / Lea Müller-Funk -- Diasporas building peace : reflections from the experience of Middle Eastern diasporas / Bahar Baser and Mari Toivanen -- Postcolonial states, nation-building and the (un)making of diasporas / Jen Dickenson -- The plasticity of diasporic identities in super-diverse cities / Tamsin Barber -- Displaced imaginations, bodies and things : materiality and subjectivity of forced migration / Sandra H. Dudley -- Preserving or discarding diaspora / Carolin Fischer and Janine Dahinden -- Disconnecting from home : contesting the salience of the diaspora / Gijsbert Oonk -- Why engage diasporas? / Alan Gamlen -- Diaspora mobilizations for conflict : beyond amplification and reduction / Maria Koinova -- Diasporas and development / Ben Page and Claire Mercer -- Diasporas and the politics of memory and commemoration / Khatharya Um -- At home in diaspora : the Babylonian Talmud as diasporist manifesto / Daniel Boyarin

[ "['sow']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Routledge handbook of diaspora studies - Document Abstract: "The word 'diaspora' has leapt from its previously confined use - mainly concerned with the dispersion of Jews, Greeks, Armenians and Africans away from their natal homelands - to cover the cases of many other ethnic groups, nationalities and religions. But this 'horizontal' scattering of the word to cover the mobility of many groups to many destinations, has been paralleled also by 'vertical' leaps, with the word diaspora being deployed to cover more and more phenomena and serve more and more objectives of different actors. With sections on 'debating the concept', 'complexity', 'home and home-making', 'connections' and 'critiques', the Routledge Handbook of Diaspora Studies is likely to remain an authoritative reference for some time. Each contribution includes a targeted list of references for further reading. The editors have carefully blended established scholars of diaspora with younger scholars looking at how diasporas are constructed 'from below'. The adoption of a variety of conceptual perspectives allows for generalization, contrasts and comparisons between cases. In this exciting and authoritative collection over 40 scholars from many countries have explored the evolving use of the concept of diaspora, its possibilities as well as its limitations. This Handbook will be indispensable for students undertaking essays, debates and dissertations in the field"-- Diaspora before it became a concept / Stephane Dufoix -- Diaspora studies : past, present and promise / Khachig Tölölyan -- Key methodological tools for diaspora studies : combining the transnational and intersectional approaches / Anna Amelina and Karolina Barglowski -- The social construction of diasporas : conceptual development and the Rwandan case / Simon Turner -- Diasporas as social movements? / Sharon M. Quinsaat -- Performing diaspora / Alpha Abebe -- Embodying belonging : diaspora's racialization and cultural citizenship / Taku Suzuki -- Music, dance and diaspora / Ananya Jahanara Kabir -- Diasporic filmmaking in Europe / Daniela Berghahn -- Writing in diaspora / Zuzanna Olszewska -- Making and "faking" a diasporic heritage / Marc Scully -- Translanguaging and diasporic imagination / Zhu Hua and Li Wei -- Multi-religious diasporas : rethinking the relationship between religion and diaspora / Dominic Pasura -- Homelessness and statelessness : possibilities and perils / Barzoo Eliassi -- Diaspora and class, class and diaspora / Nicholas Van Hear -- Working-class cosmopolitans and diaspora / Pnina Werbner -- Transversal crossings and diasporic intersections / Amanda Wise -- Intersectionalizing diaspora studies / Marie Godin -- Bridging the mobility-sedentarism and agency-structure dichotomies in diasporic return migration / Nanor Karageozian -- Unravelling the conceptual link between transnationalism and diaspora : hometown networks / Thomas Lacroix -- Deportees as "reverse diasporas" / Shahram Khosravi -- Diasporicity : relative embeddedness in transnational and co-ethnic networks / Takeyuki (Gaku) Tsuda -- Moral comforts of remaining in exile : snapshots from conflict-generated Indonesian diasporas / Antje Missbach -- Islamic schooling and the second generation: a diaspora perspective / Hanna Höchner -- Diaspora and home : interrogating embodied precarity in an era of forced displacement / Divya P. Tolia-Kelly -- Diasporas and political obligation / Ilan Zvi Baron -- Diaspora and religion : connecting and disconnecting / Giulia Liberatore and Leslie Fesenmyer -- Digital diasporas / Mihaela Nedelcu -- Diaspora politics and political remittances : a conceptual reflection / Lea Müller-Funk -- Diasporas building peace : reflections from the experience of Middle Eastern diasporas / Bahar Baser and Mari Toivanen -- Postcolonial states, nation-building and the (un)making of diasporas / Jen Dickenson -- The plasticity of diasporic identities in super-diverse cities / Tamsin Barber -- Displaced imaginations, bodies and things : materiality and subjectivity of forced migration / Sandra H. Dudley -- Preserving or discarding diaspora / Carolin Fischer and Janine Dahinden -- Disconnecting from home : contesting the salience of the diaspora / Gijsbert Oonk -- Why engage diasporas? / Alan Gamlen -- Diaspora mobilizations for conflict : beyond amplification and reduction / Maria Koinova -- Diasporas and development / Ben Page and Claire Mercer -- Diasporas and the politics of memory and commemoration / Khatharya Um -- At home in diaspora : the Babylonian Talmud as diasporist manifesto / Daniel Boyarin - Document LIN Search class: ['sow'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1744975000.jsonld

Morality, political economy and American constitutionalism

The Founders of the American Republic set up a remarkable experiment in self-government. Today, debates rage as to the philosophical legacy of this ongoing experiment. In this fascinating study, Timothy Roth offers a critical analysis of modern liberalism and the economic theory to which it is conjoined - social welfare theory 1. Thefounders 'republican cause' --2. Thecommercial republic --3.Autonomy ascendant --4. Thepublic philosophy of modern America --5. Theeconomic analogue --6. Afailed public philosophy --7. Thedecline of political economy --8.'Auxiliary precautions' in our time.

[ "['his']", "['phi']", "['sow']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Morality, political economy and American constitutionalism - Document Abstract: The Founders of the American Republic set up a remarkable experiment in self-government. Today, debates rage as to the philosophical legacy of this ongoing experiment. In this fascinating study, Timothy Roth offers a critical analysis of modern liberalism and the economic theory to which it is conjoined - social welfare theory 1. Thefounders 'republican cause' --2. Thecommercial republic --3.Autonomy ascendant --4. Thepublic philosophy of modern America --5. Theeconomic analogue --6. Afailed public philosophy --7. Thedecline of political economy --8.'Auxiliary precautions' in our time. - Document LIN Search class: ['his'], ['phi'], ['sow'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1650244029.jsonld

Theoretical Statistics : Topics for a Core Course

Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix. Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics. Probability and Measure -- Exponential Families -- Risk, Sufficiency, Completeness, and Ancillarity -- Unbiased Estimation -- Curved Exponential Families -- Conditional Distributions -- Bayesian Estimation -- Large-Sample Theory -- Estimating Equations and Maximum Likelihood -- Equivariant Estimation -- Empirical Bayes and Shrinkage Estimators -- Hypothesis Testing -- Optimal Tests in Higher Dimensions -- General Linear Model -- Bayesian Inference: Modeling and Computation -- Asymptotic Optimality1 -- Large-Sample Theory for Likelihood Ratio Tests -- Nonparametric Regression -- Bootstrap Methods -- Sequential Methods.

[ "['mat']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Theoretical Statistics : Topics for a Core Course - Document Abstract: Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix. Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics. Probability and Measure -- Exponential Families -- Risk, Sufficiency, Completeness, and Ancillarity -- Unbiased Estimation -- Curved Exponential Families -- Conditional Distributions -- Bayesian Estimation -- Large-Sample Theory -- Estimating Equations and Maximum Likelihood -- Equivariant Estimation -- Empirical Bayes and Shrinkage Estimators -- Hypothesis Testing -- Optimal Tests in Higher Dimensions -- General Linear Model -- Bayesian Inference: Modeling and Computation -- Asymptotic Optimality1 -- Large-Sample Theory for Likelihood Ratio Tests -- Nonparametric Regression -- Bootstrap Methods -- Sequential Methods. - Document LIN Search class: ['mat'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1686499272.jsonld

Advances in pest management in commercial flowers

"Floricultural crops all over the world are challenged by a number of insect and mite pests. The pest scenario is changing, and with climate change the instances of new pest incidences have become a more common problem. Like other crops, the intensive cultivation of commercial flowers has accentuated pest problems, as farmers tend to use more agricultural chemicals, which, in turn, increase the problems of pesticide resistance, pest resurgence, and residues leading to health hazards. This volume, Advances in Pest Management in Commercial Flowers, looks at the major challenges and improvements in this growing area today. It first provides an informative overview of worldwide pests of important commercial flowers. It explores a number of important issues in this area, such as the role of climate change on insect pests of commercial flowers and the synthetic chemicals and their possible harmful effects on the environment. It goes on to offer novel research on management of pest problems in commercial flower production, discussing eco-friendly techniques, the use of new and promising chemicals, the employment of indigenous technical knowledge, and more. This volume will be of immense value and use to floriculturists, entomologists, plant protection specialists, students, policymakers, and growers worldwide, encouraging them to adopt alternative pest suppression methods that are effective and eco-friendly"-- Worldwide Pests of Important Commercial Flowers / Suprakash Pal and Indrajit Sarkar -- Specialty Flower Production and Trade Affected by Insect Pests and Quarantine Issues / R. D. Gautam, Sudhida G. Parihar, and Kishan Swaroop -- Global Floriculture Scenario / R. L. Misra and V. Baskaran -- Pests of Orchids and Their Management / Rumki Heloise Ch. Sangma and Duniya Ram Singh -- Insect Pests of Roses and Their Management / Jayalaxmi Narayan Hegde, K. N. Ashrith, G. S. Suma, A. K. Chakravarthy, and H. R. Gopalkrishna -- Insect Pests of Jasmine and Their Management / K. N. Ashrith and Jayalaxmi Narayan Hegde -- Nematode Pest Problems of Tuberose / Matiyar Rahaman Khan -- Role of Climate Change on Insect Pests of Commercial Flowers / M. A. Rashmi and A. K. Chakravarthy -- Integrated Pest Management in Horticultural Ecosystems with Special Reference to Flowers and Ornamental Plants / A. K. Chakravarthy and K. S. Nitin -- Pest Management of Flowering Plants Under Protected Cultivation / Sandeep Singh and Kavita Bajaj -- Eco-Friendly Management of Helicoverpa armigera in  Commercial Flowers / Suprakash Pal and N. Ponnusamy -- Novel Chemicals in the Management of Pests of Commercial Flowers / Labani Maity, S. Samanta, and Arunava Samanta -- Sucking Pests Menace and Their Management on Floricultural Crops / Jaydeep Halder and Atanu Seni -- Role of Nanotechnology in the Pest Management of Commercial Flowers / Arunava Samanta,Biswajit Patra,and Sandip Patra -- Indigenous Technical Knowledge (ITK) in Managing Pests of Ornamental Plants / Roshna Gazmer and Nripendra Laskar -- Pest Management in 'Vertical' and 'Green' Farms: -- A Newer Dimension in Commercial Floriculture / A. K. Chakravarthy and K. S. Nitin.

[ "['hor']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Advances in pest management in commercial flowers - Document Abstract: "Floricultural crops all over the world are challenged by a number of insect and mite pests. The pest scenario is changing, and with climate change the instances of new pest incidences have become a more common problem. Like other crops, the intensive cultivation of commercial flowers has accentuated pest problems, as farmers tend to use more agricultural chemicals, which, in turn, increase the problems of pesticide resistance, pest resurgence, and residues leading to health hazards. This volume, Advances in Pest Management in Commercial Flowers, looks at the major challenges and improvements in this growing area today. It first provides an informative overview of worldwide pests of important commercial flowers. It explores a number of important issues in this area, such as the role of climate change on insect pests of commercial flowers and the synthetic chemicals and their possible harmful effects on the environment. It goes on to offer novel research on management of pest problems in commercial flower production, discussing eco-friendly techniques, the use of new and promising chemicals, the employment of indigenous technical knowledge, and more. This volume will be of immense value and use to floriculturists, entomologists, plant protection specialists, students, policymakers, and growers worldwide, encouraging them to adopt alternative pest suppression methods that are effective and eco-friendly"-- Worldwide Pests of Important Commercial Flowers / Suprakash Pal and Indrajit Sarkar -- Specialty Flower Production and Trade Affected by Insect Pests and Quarantine Issues / R. D. Gautam, Sudhida G. Parihar, and Kishan Swaroop -- Global Floriculture Scenario / R. L. Misra and V. Baskaran -- Pests of Orchids and Their Management / Rumki Heloise Ch. Sangma and Duniya Ram Singh -- Insect Pests of Roses and Their Management / Jayalaxmi Narayan Hegde, K. N. Ashrith, G. S. Suma, A. K. Chakravarthy, and H. R. Gopalkrishna -- Insect Pests of Jasmine and Their Management / K. N. Ashrith and Jayalaxmi Narayan Hegde -- Nematode Pest Problems of Tuberose / Matiyar Rahaman Khan -- Role of Climate Change on Insect Pests of Commercial Flowers / M. A. Rashmi and A. K. Chakravarthy -- Integrated Pest Management in Horticultural Ecosystems with Special Reference to Flowers and Ornamental Plants / A. K. Chakravarthy and K. S. Nitin -- Pest Management of Flowering Plants Under Protected Cultivation / Sandeep Singh and Kavita Bajaj -- Eco-Friendly Management of Helicoverpa armigera in  Commercial Flowers / Suprakash Pal and N. Ponnusamy -- Novel Chemicals in the Management of Pests of Commercial Flowers / Labani Maity, S. Samanta, and Arunava Samanta -- Sucking Pests Menace and Their Management on Floricultural Crops / Jaydeep Halder and Atanu Seni -- Role of Nanotechnology in the Pest Management of Commercial Flowers / Arunava Samanta,Biswajit Patra,and Sandip Patra -- Indigenous Technical Knowledge (ITK) in Managing Pests of Ornamental Plants / Roshna Gazmer and Nripendra Laskar -- Pest Management in 'Vertical' and 'Green' Farms: -- A Newer Dimension in Commercial Floriculture / A. K. Chakravarthy and K. S. Nitin. - Document LIN Search class: ['hor'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>