Dataset Viewer
filename
string | title
string | abstract
string | pred_lin
sequence | prompt
string |
|---|---|---|---|---|
3A1066747814.jsonld | Isaac Orobio : the Jewish argument with dogma and doubt | "The present volume on the Jewish physician and theological controversist Isaac Orobio de Castro (1617-1787) has its origin in an international workshop held on February 25, 2016 at the Maimonides Centre for Advanced Studies in Hamburg on the occasion of the 400th anniversary of the year of Orobio's birth." -- p. 1 In this volume, six historians explore new approaches to Isaac Orobio de Castro (1617-1687), an Amsterdam physician who was the most widely-read among the early modern defenders of Judaism against Christian proselytizing. He was also the major author who rebutted Benedict Spinoza's Freethought from inside his own Sephardic community. Reflecting on the developments in early modern studies that have appeared since the publication of Yosef Kaplan's seminal monograph in 1982, the authors revisit Orobio's intellectual personality with a focus on transcultural processes, clandestine book culture, philosophical rhetoric, and literary reception. Born in Portugal to Christian parents of Jewish ancestry, Orobio left behind a brilliant career as a court physician in Spain and France when he publicly embraced Judaism. With academic erudition, he translated Jewish religious positions into the eclectic philosophy of the day, using both rationalist and sceptic arguments. His work leaked out into the non-Jewish world and armed Enlightenment philosophers for their attacks on Christianity, showing the impact of Jewish criticism on the early modern quest for philosophical certainty and religious pluralism | [
"['rel']",
"['phi']",
"['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: Isaac Orobio : the Jewish argument with dogma and doubt
- Document Abstract: "The present volume on the Jewish physician and theological controversist Isaac Orobio de Castro (1617-1787) has its origin in an international workshop held on February 25, 2016 at the Maimonides Centre for Advanced Studies in Hamburg on the occasion of the 400th anniversary of the year of Orobio's birth." -- p. 1 In this volume, six historians explore new approaches to Isaac Orobio de Castro (1617-1687), an Amsterdam physician who was the most widely-read among the early modern defenders of Judaism against Christian proselytizing. He was also the major author who rebutted Benedict Spinoza's Freethought from inside his own Sephardic community. Reflecting on the developments in early modern studies that have appeared since the publication of Yosef Kaplan's seminal monograph in 1982, the authors revisit Orobio's intellectual personality with a focus on transcultural processes, clandestine book culture, philosophical rhetoric, and literary reception. Born in Portugal to Christian parents of Jewish ancestry, Orobio left behind a brilliant career as a court physician in Spain and France when he publicly embraced Judaism. With academic erudition, he translated Jewish religious positions into the eclectic philosophy of the day, using both rationalist and sceptic arguments. His work leaked out into the non-Jewish world and armed Enlightenment philosophers for their attacks on Christianity, showing the impact of Jewish criticism on the early modern quest for philosophical certainty and religious pluralism
- Document LIN Search class: ['rel'], ['phi'], ['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|>
|
3A164926125X.jsonld | Financial Cryptography : 4th International Conference, FC 2000 Anguilla, British West Indies, February 20–24, 2000 Proceedings | This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Financial Cryptography, FC 2000, held in Anguilla, British West Indies, in February 2000.The 21 revised full papers presented together with two invited papers and two tool summaries were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on digitial rights management, payment systems, finanical cryptography tools, electronic postcards, abusers of systems, financial cryptopolicies and issues, anonymity, and systems architecture | [
"['oek']",
"['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: Financial Cryptography : 4th International Conference, FC 2000 Anguilla, British West Indies, February 20–24, 2000 Proceedings
- Document Abstract: This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Financial Cryptography, FC 2000, held in Anguilla, British West Indies, in February 2000.The 21 revised full papers presented together with two invited papers and two tool summaries were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on digitial rights management, payment systems, finanical cryptography tools, electronic postcards, abusers of systems, financial cryptopolicies and issues, anonymity, and systems architecture
- Document LIN Search class: ['oek'], ['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|>
|
3A1703856767.jsonld | Concrete durability and service life planning : proceedings of ConcreteLife’20 | This volume gathers the proceedings of the 3rd International RILEM Workshop on Concrete Durability and Service Life Planning (ConcreteLife’20), held in Haifa, Israel in January 2020. The papers cover a range of topics in concrete curing, cracking in concrete structures, corrosion of steel in concrete, thermal and hygral effects, concrete in cold climates and under high temperatures, recycling, alkali-silica reactions, chloride and sulfate attacks, marine structures, transport phenomena, durability design, microstructure of concrete and volume changes, and life cycle assessment. The book also explores future trends in research, development, and practical engineering applications related to durable concrete construction, and focuses on the design and construction of concrete structures exposed to various environmental conditions and mechanical loading. Given its scope, it offers a valuable asset for all researchers and graduate students in the areas of cement chemistry, cement production, and concrete design. | [
"['bau']"
] | <|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: Concrete durability and service life planning : proceedings of ConcreteLife’20
- Document Abstract: This volume gathers the proceedings of the 3rd International RILEM Workshop on Concrete Durability and Service Life Planning (ConcreteLife’20), held in Haifa, Israel in January 2020. The papers cover a range of topics in concrete curing, cracking in concrete structures, corrosion of steel in concrete, thermal and hygral effects, concrete in cold climates and under high temperatures, recycling, alkali-silica reactions, chloride and sulfate attacks, marine structures, transport phenomena, durability design, microstructure of concrete and volume changes, and life cycle assessment. The book also explores future trends in research, development, and practical engineering applications related to durable concrete construction, and focuses on the design and construction of concrete structures exposed to various environmental conditions and mechanical loading. Given its scope, it offers a valuable asset for all researchers and graduate students in the areas of cement chemistry, cement production, and concrete design.
- Document LIN Search class: ['bau']
### 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|>
|
3A74920494X.jsonld | Modelling and Inverse Problems of Control for Distributed Parameter Systems : Proceedings of IFIP (W.G.7.2)-IIASA Conference, Laxenburg, Austria, July 24-28, 1989 | Tracking property: A viability approach -- Extensions and global estimates for evolutionary discrete control systems -- Controlling the dynamics of scalar reaction diffusion equations by finite dimensional controllers -- Estimation of catalyst pellet activity distribution -- Some remarks on the periodic linear quadratic regulator problem -- Infinite dimensional control problems with state constraints -- Approximate and numerical methods of the optimal control synthesis for stochastic systems -- Convergence rates for regularized nonlinear illposed problems -- On inverse problems for evolutionary systems: Guaranteed estimates and regularized solutions -- Exponential stabilization, via Riccati operator, of hyperbolic systems with uncontrolled, unbounded perturbations -- Some two-dimensional boundary shape optimization problems for distributed parameter systems -- Inverse problem of dynamics for systems described by parabolic inequality -- Sensitivity analysis of shallow shell with obstacle -- A note on an interaction between penalization and discretization -- Problems of mathematical modelling of nonlinear processes -- Some results concerning free boundary problems solved by domain (or shape) optimization of energy. | [
"['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: Modelling and Inverse Problems of Control for Distributed Parameter Systems : Proceedings of IFIP (W.G.7.2)-IIASA Conference, Laxenburg, Austria, July 24-28, 1989
- Document Abstract: Tracking property: A viability approach -- Extensions and global estimates for evolutionary discrete control systems -- Controlling the dynamics of scalar reaction diffusion equations by finite dimensional controllers -- Estimation of catalyst pellet activity distribution -- Some remarks on the periodic linear quadratic regulator problem -- Infinite dimensional control problems with state constraints -- Approximate and numerical methods of the optimal control synthesis for stochastic systems -- Convergence rates for regularized nonlinear illposed problems -- On inverse problems for evolutionary systems: Guaranteed estimates and regularized solutions -- Exponential stabilization, via Riccati operator, of hyperbolic systems with uncontrolled, unbounded perturbations -- Some two-dimensional boundary shape optimization problems for distributed parameter systems -- Inverse problem of dynamics for systems described by parabolic inequality -- Sensitivity analysis of shallow shell with obstacle -- A note on an interaction between penalization and discretization -- Problems of mathematical modelling of nonlinear processes -- Some results concerning free boundary problems solved by domain (or shape) optimization of energy.
- 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|>
|
3A749094524.jsonld | Current Topics in Artificial Intelligence : 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and 5th Conference on Technology Transfer, TTIA 2003, San Sebastian, Spain, November 12-14, 2003. Revised Selected Papers | This book constitutes the thoroughly refereed joint post-proceedings of the 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and the 5th Conference on Technology Transfer, TTIA 2003, held in San Sebastián, Spain, in November 2003. The 66 revised full papers presented together with one invited paper were carefully selected during two rounds of reviewing and improvement from an initial total of 214 submissions. The papers span the entire spectrum of artificial intelligence and advanced applications in various fields | [
"['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: Current Topics in Artificial Intelligence : 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and 5th Conference on Technology Transfer, TTIA 2003, San Sebastian, Spain, November 12-14, 2003. Revised Selected Papers
- Document Abstract: This book constitutes the thoroughly refereed joint post-proceedings of the 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and the 5th Conference on Technology Transfer, TTIA 2003, held in San Sebastián, Spain, in November 2003. The 66 revised full papers presented together with one invited paper were carefully selected during two rounds of reviewing and improvement from an initial total of 214 submissions. The papers span the entire spectrum of artificial intelligence and advanced applications in various fields
- 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|>
|
3A749109262.jsonld | The Semantic Web: Research and Applications : First European Semantic Web Symposium, ESWS 2004 Heraklion, Crete, Greece, May 10-12, 2004. Proceedings | This book constitutes the refereed proceedings of the First European Semantic Web Symposium, ESWS 2004, held in Heraklion, Crete, Greece in May 2004. The 33 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on ontology engineering, ontology matching and mapping, ontology-based querying, ontology merging and population, infrastructure, semantic web services, service discovery and composition, data from the semantic web, knowledge presentation, applications, content management, and information management and integration | [
"['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: The Semantic Web: Research and Applications : First European Semantic Web Symposium, ESWS 2004 Heraklion, Crete, Greece, May 10-12, 2004. Proceedings
- Document Abstract: This book constitutes the refereed proceedings of the First European Semantic Web Symposium, ESWS 2004, held in Heraklion, Crete, Greece in May 2004. The 33 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on ontology engineering, ontology matching and mapping, ontology-based querying, ontology merging and population, infrastructure, semantic web services, service discovery and composition, data from the semantic web, knowledge presentation, applications, content management, and information management and integration
- 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|>
|
3A1649363117.jsonld | Automated Deduction in Geometry : Second International Workshop, ADG’98 Beijing, China, August 1–3, 1998 Proceedings | Automatic Geometry Theorem-Proving and Automatic Geometry Problem-Solving -- Solving Geometric Problems with Real Quantifier Elimination -- Automated Discovering and Proving for Geometric Inequalities -- Proving Newton’s Propositio Kepleriana Using Geometry and Nonstandard Analysis in Isabelle -- Readable Machine Solving in Geometry and ICAI Software MSG -- Plane Euclidean Reasoning -- A Clifford Algebraic Method for Geometric Reasoning -- Clifford Term Rewriting for Geometric Reasoning in 3D -- Some Applications of Clifford Algebra to Geometries -- Decomposing Algebraic Varieties -- An Application of Automatic Theorem Proving in Computer Vision -- Automated Geometry Diagram Construction and Engineering Geometry -- A 2D Geometric Constraint Solver for Parametric Design Using Graph Analysis and Reduction -- Variant Geometry Analysis and Synthesis in Mechanical CAD. The Second International Workshop on Automated Deduction in Geometry (ADG ’98) was held in Beijing, China, August 1–3, 1998. An increase of interest in ADG ’98 over the previous workshop ADG ’96 is represented by the notable number of more than 40 participants from ten countries and the strong tech- cal program of 25 presentations, of which two one-hour invited talks were given by Professors Wen-tsun ¨ Wu and Jing-Zhong Zhang. The workshop provided the participants with a well-focused forum for e?ective exchange of new ideas and timely report of research progress. Insight surveys, algorithmic developments, and applications in CAGD/CAD and computer vision presented by active - searchers, together with geometry software demos, shed light on the features of this second workshop. ADG ’98 was hosted by the Mathematics Mechanization Research Center (MMRC) with ?nancial support from the Chinese Academy of Sciences and the French National Center for Scienti?c Research (CNRS), and was organized by the three co-editors of this proceedings volume. The papers contained in the volume were selected, under a strict refereeing procedure, from those presented at ADG ’98 and submitted afterwards. Most of the 14 accepted papers were carefully revised and some of the revised versions were checked again by external reviewers. We hope that these papers cover some of the most recent and signi?cant research results and developments and re?ect the current state-of-the-art of ADG. | [
"['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: Automated Deduction in Geometry : Second International Workshop, ADG’98 Beijing, China, August 1–3, 1998 Proceedings
- Document Abstract: Automatic Geometry Theorem-Proving and Automatic Geometry Problem-Solving -- Solving Geometric Problems with Real Quantifier Elimination -- Automated Discovering and Proving for Geometric Inequalities -- Proving Newton’s Propositio Kepleriana Using Geometry and Nonstandard Analysis in Isabelle -- Readable Machine Solving in Geometry and ICAI Software MSG -- Plane Euclidean Reasoning -- A Clifford Algebraic Method for Geometric Reasoning -- Clifford Term Rewriting for Geometric Reasoning in 3D -- Some Applications of Clifford Algebra to Geometries -- Decomposing Algebraic Varieties -- An Application of Automatic Theorem Proving in Computer Vision -- Automated Geometry Diagram Construction and Engineering Geometry -- A 2D Geometric Constraint Solver for Parametric Design Using Graph Analysis and Reduction -- Variant Geometry Analysis and Synthesis in Mechanical CAD. The Second International Workshop on Automated Deduction in Geometry (ADG ’98) was held in Beijing, China, August 1–3, 1998. An increase of interest in ADG ’98 over the previous workshop ADG ’96 is represented by the notable number of more than 40 participants from ten countries and the strong tech- cal program of 25 presentations, of which two one-hour invited talks were given by Professors Wen-tsun ¨ Wu and Jing-Zhong Zhang. The workshop provided the participants with a well-focused forum for e?ective exchange of new ideas and timely report of research progress. Insight surveys, algorithmic developments, and applications in CAGD/CAD and computer vision presented by active - searchers, together with geometry software demos, shed light on the features of this second workshop. ADG ’98 was hosted by the Mathematics Mechanization Research Center (MMRC) with ?nancial support from the Chinese Academy of Sciences and the French National Center for Scienti?c Research (CNRS), and was organized by the three co-editors of this proceedings volume. The papers contained in the volume were selected, under a strict refereeing procedure, from those presented at ADG ’98 and submitted afterwards. Most of the 14 accepted papers were carefully revised and some of the revised versions were checked again by external reviewers. We hope that these papers cover some of the most recent and signi?cant research results and developments and re?ect the current state-of-the-art of ADG.
- 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|>
|
3A837755700.jsonld | Convergence culture reconsidered : media - participation - environments | Taking media scholar Henry Jenkinsś concept of 'convergence culture' and the related notions of 'participatory culture' and 'transmedia storytelling' as points of departure, the essays compiled in the present volume provide terminological clarifi cation, offer exemplary case studies, and discuss the broader implications of such developments for the humanities. Most of the contributions were originally presented at the transatlantic conference Convergence Culture Reconsidered organized by the editors at the Georg-August-Universität Göttingen, Germany, in October 2013. Applying perspectives as diverse as literary, cultural, and media studies, digital humanities, translation studies, art history, musicology, and ecology, they assemble a stimulating wealth of interdisciplinary and innovative approaches that will appeal to students as well as experts in any of these research areas. | [
"['lit']",
"['lin']",
"['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: Convergence culture reconsidered : media - participation - environments
- Document Abstract: Taking media scholar Henry Jenkinsś concept of 'convergence culture' and the related notions of 'participatory culture' and 'transmedia storytelling' as points of departure, the essays compiled in the present volume provide terminological clarifi cation, offer exemplary case studies, and discuss the broader implications of such developments for the humanities. Most of the contributions were originally presented at the transatlantic conference Convergence Culture Reconsidered organized by the editors at the Georg-August-Universität Göttingen, Germany, in October 2013. Applying perspectives as diverse as literary, cultural, and media studies, digital humanities, translation studies, art history, musicology, and ecology, they assemble a stimulating wealth of interdisciplinary and innovative approaches that will appeal to students as well as experts in any of these research areas.
- Document LIN Search class: ['lit'], ['lin'], ['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|>
|
3A1823799434.jsonld | Wireless Sensor Networks : 16th China Conference, CWSN 2022, Guangzhou, China, November 10-13, 2022, proceedings | This book constitutes the refereed proceedings of the 16th China Conference on Wireless Sensor Networks, CWSN 2022, which took place in Guangzhou, China, in November 2022.The 17 full papers presented in this volume were carefully reviewed and selected from 204 submissions, including 87 English papers and 117 Chinese papers. The conference provided an academic exchange of research and a development forum for IoT researchers, developers, enterprises, and users. Exchanging results and experience of research and applications in IoT, and discussing the key challenges and research hotspots, is the main goal of the forum. As a high-level forum for the design, implementation, and application of IoT, the conference promoted the exchange and application of the oriesand technologies of IoT-related topics | [
"['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: Wireless Sensor Networks : 16th China Conference, CWSN 2022, Guangzhou, China, November 10-13, 2022, proceedings
- Document Abstract: This book constitutes the refereed proceedings of the 16th China Conference on Wireless Sensor Networks, CWSN 2022, which took place in Guangzhou, China, in November 2022.The 17 full papers presented in this volume were carefully reviewed and selected from 204 submissions, including 87 English papers and 117 Chinese papers. The conference provided an academic exchange of research and a development forum for IoT researchers, developers, enterprises, and users. Exchanging results and experience of research and applications in IoT, and discussing the key challenges and research hotspots, is the main goal of the forum. As a high-level forum for the design, implementation, and application of IoT, the conference promoted the exchange and application of the oriesand technologies of IoT-related topics
- 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|>
|
3A1657222713.jsonld | Research on economic inequality: Poverty, Inequality and Welfare | This volume contains research on how we measure poverty, inequality and welfare and how we use such measurements to devise policies to deliver social mobility. It contains ten papers, some of which were presented at the third meeting of The Theory and Empirics of Poverty, Inequality and Mobility at Queen Mary University of London, London, October 2016. The volume begins with theoretical issues at the frontier of the literature. Three papers discuss the impact of social welfare policies on poverty measurement, and with innovations on the measurement of relative bipolarisation. Two papers address the conceptualisation of multidimensional poverty by incorporating inequality within the poor, and that of chronic poverty for time dependent analyses, with applications to India and Haiti, and Ethiopia respectively. The second half of the volume consists of empirical contributions, using novel techniques and datasets to investigate the dynamics of poverty and welfare. These studies track the dynamics of poverty using unique datasets for China, the Caucasus and Italy. The volume concludes with investigations about within-household inequalities between siblings due to the unequal effects of conditional cash transfers in Cambodia and a cross-country study on the effect of historical income inequality on entrepreneurship in developing countries. | [
"['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: Research on economic inequality: Poverty, Inequality and Welfare
- Document Abstract: This volume contains research on how we measure poverty, inequality and welfare and how we use such measurements to devise policies to deliver social mobility. It contains ten papers, some of which were presented at the third meeting of The Theory and Empirics of Poverty, Inequality and Mobility at Queen Mary University of London, London, October 2016. The volume begins with theoretical issues at the frontier of the literature. Three papers discuss the impact of social welfare policies on poverty measurement, and with innovations on the measurement of relative bipolarisation. Two papers address the conceptualisation of multidimensional poverty by incorporating inequality within the poor, and that of chronic poverty for time dependent analyses, with applications to India and Haiti, and Ethiopia respectively. The second half of the volume consists of empirical contributions, using novel techniques and datasets to investigate the dynamics of poverty and welfare. These studies track the dynamics of poverty using unique datasets for China, the Caucasus and Italy. The volume concludes with investigations about within-household inequalities between siblings due to the unequal effects of conditional cash transfers in Cambodia and a cross-country study on the effect of historical income inequality on entrepreneurship in developing countries.
- 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|>
|
3A484087428.jsonld | Multi-agent and multi-agent-based simulation : Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004 ; revised selected papers | This book constitutes the thoroughly refereed postproceedings of the Joint International Workshop on Multi-Agent and Multi-Agent-Based Simulation, MABS 2004, held in New York, NY, USA in July 2004. The 20 revised full papers presented have gone through two rounds of reviewing, selection, and improvement; they present state-of-the-art research results in agent-based simulation and modeling. The papers are organized in topical sections on simulation of multi-agent systems, techniques and technologies, methodology and modeling, social dynamics, and application | [
"['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: Multi-agent and multi-agent-based simulation : Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004 ; revised selected papers
- Document Abstract: This book constitutes the thoroughly refereed postproceedings of the Joint International Workshop on Multi-Agent and Multi-Agent-Based Simulation, MABS 2004, held in New York, NY, USA in July 2004. The 20 revised full papers presented have gone through two rounds of reviewing, selection, and improvement; they present state-of-the-art research results in agent-based simulation and modeling. The papers are organized in topical sections on simulation of multi-agent systems, techniques and technologies, methodology and modeling, social dynamics, and application
- 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|>
|
3A816227659.jsonld | Sport und Recht in der Antike : Beiträge zum 2. Wiener Kolloquium zur Antiken Rechtsgeschichte ; 27. - 28.10.2011 | The volume deals with the juridical and institutional framework of athletic and artistic games from archaic Greece to late antique Rome. The agones’ rules and regulations, the funding by public contributions and wealthy private sponsors were approached as well as the athletes’ training and prizes and privileges, which determined the athletes’—and especially the winner’s— social status. Moreover attention was drawn onto the end of the classical Greek agones from a Roman perspective.The Second Vienna Colloquium on Ancient Legal History addressed the juridical and institutional framework of athletic and artistic games in classical antiquity. The chronological frame ranged from Archaic times to Late Antiquity (8th cent. BCE – 6th cent. CE). The symposium covered three main areas of interest. Firstly, the agones’ rules and regulations, the funding by public contributions and wealthy private sponsors as well as the athletes’ training were approached. Prizes and privileges, which determined the athletes’—and especially the winner’s— social status and were thus crucial to the agones’ appeal, were then attended to by several papers. In contrast to the conditions under the Imperium Romanum, where the emperor enforced nation-wide regulations, the „politics of sports“ followed different rules in the small-scaled world of the classical Greek poleis. Thus, differences in the conception of sports between Greeks and Romans were traced and exemplarily demonstrated on the basis of the gladiatorial games. Lastly, attention was drawn onto the end of the classical Greek agones from a Roman perspective. The now Christian empire couldn’t tolerate the pagan agones anymore and instead developed new forms of athletic competitions and public entertainment: late antique circus games and chariot races Der Band widmet sich den rechtlichen und institutionellen Rahmenbedingungen athletischer und künstlerischer Wettkämpfe vom archaischen Griechenland bis in das spätantike Rom. Das Regelwerk der agone, die Finanzierung durch öffentliche Förderungen und reiche Privatsponsoren wurden ebenso angesprochen wie das Training der Athleten und Siegespreise und Privilegien, die den sozialen Status der Athleten, im Besonderen der Sieger, determinierten. Darüber hinaus wurde die Aufmerksamkeit auf das Ende der klassischen griechischen agone aus römischer Perspektive gelenkt.Der vorliegende Band des zweiten Wiener Kolloquium zur Antiken Rechtsgeschichte widmet sich den rechtlichen und institutionellen Rahmenbedingungen der sportlichen und musischen Wettkämpfe des klassischen Altertums. Der zeitliche Rahmen erstreckt sich von der Archaik bis in die Spätantike (8. Jh. v.Chr. – 6. Jh. n.Chr.). Das Regelwerk der Agone, ihre Finanzierung sowohl aus öffentlichen Mitteln wie auch aus privaten Zuwendungen vermögender Sponsoren und die Ausbildung der Sportler bilden den ersten Schwerpunkt. Siegespreise und Privilegien, die den sozialen Status von Sportlern und insbesondere Wettkampfsiegern bestimmten und für die Attraktivität der Agone ausschlaggebend waren, stehen im Mittelpunkt weiterer Beiträge. Derartige Fragen waren stets Gegenstand einer „Sportpolitik“, die unter den kleinräumigen Gegebenheiten der klassischen griechischen Stadtstaaten anderen Spielregeln folgte als etwa im Imperium Romanum, wo der Kaiser versuchte uniforme, reichsweite Bestimmungen durchzusetzen. Unterschiede im Konzept von Sport und Wettkampf bei Griechen und Römern werden aufgespürt und unter anderem anhand der Gladiatorenspiele als einem spezifisch römischem Sonderfall illustriert. Ein weiterer Aspekt ist der Blick auf das Ende der klassischen griechischen Agonistik aus der römischen Perspektive: Das christlich gewordene Kaisertum duldete die heidnischen Agone nicht mehr, entwickelte aber gleichzeitig mit den spätantiken Zirkusspielen und ihren Wagenrennen und Tierhatzen neue Formen des Wettkampfs und der Volksbelustigung | [
"['his']",
"['spo']",
"['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: Sport und Recht in der Antike : Beiträge zum 2. Wiener Kolloquium zur Antiken Rechtsgeschichte ; 27. - 28.10.2011
- Document Abstract: The volume deals with the juridical and institutional framework of athletic and artistic games from archaic Greece to late antique Rome. The agones’ rules and regulations, the funding by public contributions and wealthy private sponsors were approached as well as the athletes’ training and prizes and privileges, which determined the athletes’—and especially the winner’s— social status. Moreover attention was drawn onto the end of the classical Greek agones from a Roman perspective.The Second Vienna Colloquium on Ancient Legal History addressed the juridical and institutional framework of athletic and artistic games in classical antiquity. The chronological frame ranged from Archaic times to Late Antiquity (8th cent. BCE – 6th cent. CE). The symposium covered three main areas of interest. Firstly, the agones’ rules and regulations, the funding by public contributions and wealthy private sponsors as well as the athletes’ training were approached. Prizes and privileges, which determined the athletes’—and especially the winner’s— social status and were thus crucial to the agones’ appeal, were then attended to by several papers. In contrast to the conditions under the Imperium Romanum, where the emperor enforced nation-wide regulations, the „politics of sports“ followed different rules in the small-scaled world of the classical Greek poleis. Thus, differences in the conception of sports between Greeks and Romans were traced and exemplarily demonstrated on the basis of the gladiatorial games. Lastly, attention was drawn onto the end of the classical Greek agones from a Roman perspective. The now Christian empire couldn’t tolerate the pagan agones anymore and instead developed new forms of athletic competitions and public entertainment: late antique circus games and chariot races Der Band widmet sich den rechtlichen und institutionellen Rahmenbedingungen athletischer und künstlerischer Wettkämpfe vom archaischen Griechenland bis in das spätantike Rom. Das Regelwerk der agone, die Finanzierung durch öffentliche Förderungen und reiche Privatsponsoren wurden ebenso angesprochen wie das Training der Athleten und Siegespreise und Privilegien, die den sozialen Status der Athleten, im Besonderen der Sieger, determinierten. Darüber hinaus wurde die Aufmerksamkeit auf das Ende der klassischen griechischen agone aus römischer Perspektive gelenkt.Der vorliegende Band des zweiten Wiener Kolloquium zur Antiken Rechtsgeschichte widmet sich den rechtlichen und institutionellen Rahmenbedingungen der sportlichen und musischen Wettkämpfe des klassischen Altertums. Der zeitliche Rahmen erstreckt sich von der Archaik bis in die Spätantike (8. Jh. v.Chr. – 6. Jh. n.Chr.). Das Regelwerk der Agone, ihre Finanzierung sowohl aus öffentlichen Mitteln wie auch aus privaten Zuwendungen vermögender Sponsoren und die Ausbildung der Sportler bilden den ersten Schwerpunkt. Siegespreise und Privilegien, die den sozialen Status von Sportlern und insbesondere Wettkampfsiegern bestimmten und für die Attraktivität der Agone ausschlaggebend waren, stehen im Mittelpunkt weiterer Beiträge. Derartige Fragen waren stets Gegenstand einer „Sportpolitik“, die unter den kleinräumigen Gegebenheiten der klassischen griechischen Stadtstaaten anderen Spielregeln folgte als etwa im Imperium Romanum, wo der Kaiser versuchte uniforme, reichsweite Bestimmungen durchzusetzen. Unterschiede im Konzept von Sport und Wettkampf bei Griechen und Römern werden aufgespürt und unter anderem anhand der Gladiatorenspiele als einem spezifisch römischem Sonderfall illustriert. Ein weiterer Aspekt ist der Blick auf das Ende der klassischen griechischen Agonistik aus der römischen Perspektive: Das christlich gewordene Kaisertum duldete die heidnischen Agone nicht mehr, entwickelte aber gleichzeitig mit den spätantiken Zirkusspielen und ihren Wagenrennen und Tierhatzen neue Formen des Wettkampfs und der Volksbelustigung
- Document LIN Search class: ['his'], ['spo'], ['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|>
|
3A520426908.jsonld | Politics of orality : (orality and literacy in ancient Greece, vol. 6) | This volume represents the sixth in the series on Orality and Literacy in the Ancient Greek and Roman Worlds. The present work comprises a collection of essays that explore the tensions and controversies that arise as a society moves from an oral to literate culture. Part 1 deals with both Homeric and other forms of epic; part 2 explores different ways in which texts and writing were manipulated for political ends; and, part 3 and 4 deal with the controversies surrounding the adoption of writing as the accepted mode of communication; whereas some segments of society began to privilege writing over oral communication, others continued to maintain that the latter was superior. Part 4 also looks at the oral elements of Athenian Law. | [
"['his']",
"['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: Politics of orality : (orality and literacy in ancient Greece, vol. 6)
- Document Abstract: This volume represents the sixth in the series on Orality and Literacy in the Ancient Greek and Roman Worlds. The present work comprises a collection of essays that explore the tensions and controversies that arise as a society moves from an oral to literate culture. Part 1 deals with both Homeric and other forms of epic; part 2 explores different ways in which texts and writing were manipulated for political ends; and, part 3 and 4 deal with the controversies surrounding the adoption of writing as the accepted mode of communication; whereas some segments of society began to privilege writing over oral communication, others continued to maintain that the latter was superior. Part 4 also looks at the oral elements of Athenian Law.
- Document LIN Search class: ['his'], ['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|>
|
3A388681268.jsonld | Learning theory : 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1 - 4, 2004 ; proceedings | This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems | [
"['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: Learning theory : 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1 - 4, 2004 ; proceedings
- Document Abstract: This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems
- 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|>
|
3A387720839.jsonld | Advanced information systems engineering : 16th international conference, CAiSE 2004, Riga, Latvia, June 7 - 11, 2004 ; proceedings | This book constitutes the refereed proceedings of the 16th International Conference on Advanced Information Systems Engineering, CAiSE 2004, held in Riga, Latvia in June 2004. The 39 revised full papers presented together with 2 abstracts of invited talks were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on enterprise modeling, data integration, conceptual modeling, workflows, methodologies for IS development, databases, methodologies for IS development, databases, support for collaboration between individuals and organizsations, Web-based systems, requirements engineering, ontologies, and data warehousing | [
"['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: Advanced information systems engineering : 16th international conference, CAiSE 2004, Riga, Latvia, June 7 - 11, 2004 ; proceedings
- Document Abstract: This book constitutes the refereed proceedings of the 16th International Conference on Advanced Information Systems Engineering, CAiSE 2004, held in Riga, Latvia in June 2004. The 39 revised full papers presented together with 2 abstracts of invited talks were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on enterprise modeling, data integration, conceptual modeling, workflows, methodologies for IS development, databases, methodologies for IS development, databases, support for collaboration between individuals and organizsations, Web-based systems, requirements engineering, ontologies, and data warehousing
- 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|>
|
3A1646679318.jsonld | Computer Vision in Human-Computer Interaction (vol. # 3979) : ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings | The interests and goals of HCI (human–computer interaction) include understanding, designing, building, and evaluating complex interactive systems - involving many people and technologies. Developments in software and hardware technologies are continuously driving applications in supporting our collaborative and communicative needs as social beings, both at work and at play. At the same time, similar developments are pushing the human–computer interface beyond the desktop and into our pockets, streets, and buildings. Developments in mobile, wearable, and pervasive communications and computing technologies provide exciting challenges and opportunities for HCI. This volume presents the proceedings of the HCI 2006 Workshop, held in conjunction with ECCV 2006 (European Conference on Computer Vision) in Graz, Austria. The goal of this workshop was to bring together researchers from the field of computer vision whose work is related to human–computer interaction. The 11 papers presented in this volume were carefully reviewed and selected from 27 submissions. They address a wide range of theoretical and application issues in human–computer interaction. There were four thematic sessions named: face analysis; gesture and emotion recognition; event detection; and applications. . Computer Vision in Human-Computer Interaction -- Robust Face Alignment Based on Hierarchical Classifier Network -- EigenExpress Approach in Recognition of Facial Expression Using GPU -- Face Representation Method Using Pixel-to-Vertex Map (PVM) for 3D Model Based Face Recognition -- Robust Head Tracking with Particles Based on Multiple Cues Fusion -- Vision-Based Interpretation of Hand Gestures for Remote Control of a Computer Mouse -- Computing Emotion Awareness Through Facial Electromyography -- Silhouette-Based Method for Object Classification and Human Action Recognition in Video -- Voice Activity Detection Using Wavelet-Based Multiresolution Spectrum and Support Vector Machines and Audio Mixing Algorithm -- Action Recognition in Broadcast Tennis Video Using Optical Flow and Support Vector Machine -- FaceMouse: A Human-Computer Interface for Tetraplegic People -- Object Retrieval by Query with Sensibility Based on the KANSEI-Vocabulary Scale. | [
"['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: Computer Vision in Human-Computer Interaction (vol. # 3979) : ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings
- Document Abstract: The interests and goals of HCI (human–computer interaction) include understanding, designing, building, and evaluating complex interactive systems - involving many people and technologies. Developments in software and hardware technologies are continuously driving applications in supporting our collaborative and communicative needs as social beings, both at work and at play. At the same time, similar developments are pushing the human–computer interface beyond the desktop and into our pockets, streets, and buildings. Developments in mobile, wearable, and pervasive communications and computing technologies provide exciting challenges and opportunities for HCI. This volume presents the proceedings of the HCI 2006 Workshop, held in conjunction with ECCV 2006 (European Conference on Computer Vision) in Graz, Austria. The goal of this workshop was to bring together researchers from the field of computer vision whose work is related to human–computer interaction. The 11 papers presented in this volume were carefully reviewed and selected from 27 submissions. They address a wide range of theoretical and application issues in human–computer interaction. There were four thematic sessions named: face analysis; gesture and emotion recognition; event detection; and applications. . Computer Vision in Human-Computer Interaction -- Robust Face Alignment Based on Hierarchical Classifier Network -- EigenExpress Approach in Recognition of Facial Expression Using GPU -- Face Representation Method Using Pixel-to-Vertex Map (PVM) for 3D Model Based Face Recognition -- Robust Head Tracking with Particles Based on Multiple Cues Fusion -- Vision-Based Interpretation of Hand Gestures for Remote Control of a Computer Mouse -- Computing Emotion Awareness Through Facial Electromyography -- Silhouette-Based Method for Object Classification and Human Action Recognition in Video -- Voice Activity Detection Using Wavelet-Based Multiresolution Spectrum and Support Vector Machines and Audio Mixing Algorithm -- Action Recognition in Broadcast Tennis Video Using Optical Flow and Support Vector Machine -- FaceMouse: A Human-Computer Interface for Tetraplegic People -- Object Retrieval by Query with Sensibility Based on the KANSEI-Vocabulary Scale.
- 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|>
|
3A1608640124.jsonld | Quantum information and coherence | "This book offers an introduction to ten key topics in quantum information science and quantum coherent phenomena, aimed at graduate-student level. The chapters cover some of the most recent developments in this dynamic research field where theoretical and experimental physics, combined with computer science, provide a fascinating arena for groundbreaking new concepts in information processing. The book addresses both the theoretical and experimental aspects of the subject, and clearly demonstrates how progress in experimental techniques has stimulated a great deal of theoretical effort and vice versa. Experiments are shifting from simply preparing and measuring quantum states to controlling and manipulating them, and the book outlines how the first real applications, notably quantum key distribution for secure communication, are starting to emerge. The chapters cover quantum retrodiction, ultracold quantum gases in optical lattices, optomechanics, quantum algorithms, quantum key distribution, quantum control based on measurement, orbital angular momentum of light, entanglement theory, trapped ions and quantum metrology, and open quantum systems subject to decoherence." -- | [
"['phy']",
"['inf']",
"['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: Quantum information and coherence
- Document Abstract: "This book offers an introduction to ten key topics in quantum information science and quantum coherent phenomena, aimed at graduate-student level. The chapters cover some of the most recent developments in this dynamic research field where theoretical and experimental physics, combined with computer science, provide a fascinating arena for groundbreaking new concepts in information processing. The book addresses both the theoretical and experimental aspects of the subject, and clearly demonstrates how progress in experimental techniques has stimulated a great deal of theoretical effort and vice versa. Experiments are shifting from simply preparing and measuring quantum states to controlling and manipulating them, and the book outlines how the first real applications, notably quantum key distribution for secure communication, are starting to emerge. The chapters cover quantum retrodiction, ultracold quantum gases in optical lattices, optomechanics, quantum algorithms, quantum key distribution, quantum control based on measurement, orbital angular momentum of light, entanglement theory, trapped ions and quantum metrology, and open quantum systems subject to decoherence." --
- Document LIN Search class: ['phy'], ['inf'], ['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|>
|
3A1778594891.jsonld | Der Prozess Jesu - aus römisch-rechtlicher Perspektive | Although it is clear that the trial of Jesus has been extensively discussed and described before, new aspects are revealed by a strict focus on the written text from the perspective of legal history. The author follows this approach and comes to the inexorable conclusion that Jesus`s sentence was fully consistent with the terms of Roman penal and procedural law | [
"['rel']",
"['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: Der Prozess Jesu - aus römisch-rechtlicher Perspektive
- Document Abstract: Although it is clear that the trial of Jesus has been extensively discussed and described before, new aspects are revealed by a strict focus on the written text from the perspective of legal history. The author follows this approach and comes to the inexorable conclusion that Jesus`s sentence was fully consistent with the terms of Roman penal and procedural law
- Document LIN Search class: ['rel'], ['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|>
|
3A1667346962.jsonld | Popular music and public diplomacy : transnational and transdisciplinary perspectives | In the early years of the Cold War, Western nations increasingly adopted strategies of public diplomacy involving popular music. While the diplomatic use of popular music was initially limited to such genres as jazz, the second half of the 20th century saw a growing presence of various popular genres in diplomatic contexts, including rock, punk, reggae, and hip-hop.This volume illuminates the interrelation of popular music and public diplomacy from a transnational and transdisciplinary angle. The contributions argue that, as popular music has been a crucial factor in international relations, its diplomatic use has substantially impacted the global musical landscape of the 20th and 21st centuries Frontmatter -- Table of Contents -- Acknowledgements -- Popular Music and Public Diplomacy / Dunkel, Mario / Nitzsche, Sina A. -- Part I: Competition and Collaboration -- Music in Transnational Transfers and International Competitions / Nathaus, Klaus -- The Paradoxes of Cultural and Music Diplomacy in a Federal Country / Mazzola, Alessandro -- Dervish on the Eurovision Stage / Şahin, Nevin Ş -- Part II: Infiltration and Appropriation -- Between Propaganda and Public Diplomacy / Ritter, Rüdiger -- "Liberated from Serfdom" / Feustle, Maristella -- A Musical Inquisition? / Ignácz, Ádám -- Part III: Education and Promotion -- Dancing in Chains / Bayles, Martha -- Becoming a Blue-Collar Musical Diplomat / Brown, Nicholas Alexander -- Music Trade in the Slipstream of Cultural Diplomacy / Kube, Sven -- National Flamencoism / Díaz, Carlos Sanz / Morales Tamaral, José Manuel -- Part IV: Representation and Participation -- The Ethics and Politics of Empathy in US Hip-Hop Diplomacy / Salois, Kendra -- Popular Musicking and the Politics of Spectatorship at the United Nations / Ball, James R. -- From Sons of Gastarbeita to Songs of Gastarbeiter / Nieden, Gesa zur -- Public Diplomacy and Decision-Making in the Eurovision Song Contest / Vuletic, Dean -- List of Contributors -- Index | [
"['sow']",
"['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: Popular music and public diplomacy : transnational and transdisciplinary perspectives
- Document Abstract: In the early years of the Cold War, Western nations increasingly adopted strategies of public diplomacy involving popular music. While the diplomatic use of popular music was initially limited to such genres as jazz, the second half of the 20th century saw a growing presence of various popular genres in diplomatic contexts, including rock, punk, reggae, and hip-hop.This volume illuminates the interrelation of popular music and public diplomacy from a transnational and transdisciplinary angle. The contributions argue that, as popular music has been a crucial factor in international relations, its diplomatic use has substantially impacted the global musical landscape of the 20th and 21st centuries Frontmatter -- Table of Contents -- Acknowledgements -- Popular Music and Public Diplomacy / Dunkel, Mario / Nitzsche, Sina A. -- Part I: Competition and Collaboration -- Music in Transnational Transfers and International Competitions / Nathaus, Klaus -- The Paradoxes of Cultural and Music Diplomacy in a Federal Country / Mazzola, Alessandro -- Dervish on the Eurovision Stage / Şahin, Nevin Ş -- Part II: Infiltration and Appropriation -- Between Propaganda and Public Diplomacy / Ritter, Rüdiger -- "Liberated from Serfdom" / Feustle, Maristella -- A Musical Inquisition? / Ignácz, Ádám -- Part III: Education and Promotion -- Dancing in Chains / Bayles, Martha -- Becoming a Blue-Collar Musical Diplomat / Brown, Nicholas Alexander -- Music Trade in the Slipstream of Cultural Diplomacy / Kube, Sven -- National Flamencoism / Díaz, Carlos Sanz / Morales Tamaral, José Manuel -- Part IV: Representation and Participation -- The Ethics and Politics of Empathy in US Hip-Hop Diplomacy / Salois, Kendra -- Popular Musicking and the Politics of Spectatorship at the United Nations / Ball, James R. -- From Sons of Gastarbeita to Songs of Gastarbeiter / Nieden, Gesa zur -- Public Diplomacy and Decision-Making in the Eurovision Song Contest / Vuletic, Dean -- List of Contributors -- Index
- Document LIN Search class: ['sow'], ['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|>
|
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