SciKnowOrg/ontolearner-materials_science_and_engineering

Materials Science And Engineering Domain Ontologies

Overview

Materials Science and Engineering is a multidisciplinary domain that focuses on the study and application of materials, emphasizing their structure, properties, processing, and performance in engineering contexts. This field is pivotal for advancing knowledge representation, as it integrates principles from physics, chemistry, and engineering to innovate and optimize materials for diverse technological applications. By systematically categorizing and modeling material-related data, this domain facilitates the development of new materials and enhances the understanding of their behavior under various conditions.

Ontologies

Ontology ID	Full Name	Classes	Properties	Last Updated
AMOntology	Additive Manufacturing Ontology (AMOntology)	328	21	2023-05-10
ASMO	Atomistic Simulation Methods Ontology (ASMO)	99	41	None
Atomistic	Atomistic Ontology (Atomistic)	12	2	None
BattINFO	Battery Interface Ontology (BattINFO)	4431	304	None
BMO	Building Material Ontology (BMO)	24	62	2019-12-10
BVCO	Battery Value Chain Ontology (BVCO)	262	6	None
CDCO	Crystallographic Defect Core Ontology (CDCO)	7	2	None
CHAMEO	Characterisation Methodology Domain Ontology (CHAMEO)	203	52	2024-04-12
CIFCore	Crystallographic Information Framework Core Dictionary (CIFCore)	1182	0	May 24, 2023
CMSO	Computational Material Sample Ontology (CMSO)	45	51	None
DISO	Dislocation Ontology (DISO)	62	45	21.03.202
DSIM	Dislocation Simulation and Model Ontology (DSIM)	47	78	17.08.2023
EMMO	The Elementary Multiperspective Material Ontology (EMMO)	2448	181	2024-03
EMMOCrystallography	Crystallography Ontology (EMMOCrystallography)	61	5	None
FSO	Flow Systems Ontology (FSO)	14	22	2020-08-06
GPO	General Process Ontology (GPO)	187	17	None
HPOnt	The Heat Pump Ontology (HPOnt)	4	12	None
LDO	Line Defect Ontology (LDO)	30	11	None
LPBFO	Laser Powder Bed Fusion Ontology (LPBFO)	508	38	2022-09-20
MAMBO	Molecules And Materials Basic Ontology (MAMBO)	57	104	None
MAT	Material Properties Ontology (MAT)	140	21	None
MaterialInformation	Material Information Ontology (MaterialInformation)	548	98	None
MatOnto	Material Ontology (MatOnto)	1307	95	None
MatVoc	Materials Vocabulary (MatVoc)	28	15	2022-12-12
MatWerk	NFDI MatWerk Ontology (MatWerk)	449	129	2025-03-01
MDO	Materials Design Ontology (MDO)	13	13	2022-08-02
MDS	Materials Data Science Ontology (MDS)	363	10	03/24/2024
MechanicalTesting	Mechanical Testing Ontology (MechanicalTesting)	369	5	None
MicroStructures	EMMO-based ontology for microstructures (MicroStructures)	43	0	None
MMO	Materials Mechanics Ontology (MMO)	428	17	2024-01-30
MOLBRINELL	MatoLab Brinell Test Ontology (MOL_BRINELL)	37	21	05/05/2022
MOLTENSILE	Matolab Tensile Test Ontology (MOL_TENSILE)	371	95	04/16/2021
MSEO	Materials Science and Engineering Ontology (MSEO)	138	2	None
MSLE	Material Science Lab Equipment Ontology (MSLE)	45	10	Sep 15, 2022
NanoMine	NanoMine Ontology (NanoMine)	157	0	None
OIEManufacturing	Open Innovation Environment Manufacturing (OIEManufacturing)	222	3	None
OIEMaterials	Open Innovation Environment Materials (OIEMaterials)	119	0	None
OIEModels	Open Innovation Environment Models (OIEModels)	108	1	None
OIESoftware	Open Innovation Environment Software (OIESoftware)	155	0	None
ONTORULE	Ontology for the Steel Domain (ONTORULE)	24	37	2010-05-31
PeriodicTable	Periodic Table of the Elements Ontology (PeriodicTable)	6	13	2004/02/05
Photovoltaics	EMMO Domain Ontology for Photovoltaics (Photovoltaics)	47	3	None
PLDO	Planar Defects Ontology (PLDO)	27	15	None
PMDco	The Platform MaterialDigital core ontology (PMDco)	1002	66	2025-03-20
PODO	Point Defects Ontology (PODO)	12	5	None
PRIMA	PRovenance Information in MAterials science (PRIMA)	67	67	2024-01-29
SSN	Semantic Sensor Network Ontology (SSN)	22	38	2017-04-17
SystemCapabilities	System Capabilities Ontology (SystemCapabilities)	25	8	2017-05-14
VIMMP	Virtual Materials Marketplace Ontologies (VIMMP)	1234	771	2021-01-02

Dataset Files

Each ontology directory contains the following files:

1. <ontology_id>.<format> - The original ontology file
2. term_typings.json - A Dataset of term-to-type mappings
3. taxonomies.json - Dataset of taxonomic relations
4. non_taxonomic_relations.json - Dataset of non-taxonomic relations
5. <ontology_id>.rst - Documentation describing the ontology

Usage

These datasets are intended for ontology learning research and applications. Here's how to use them with OntoLearner:

First of all, install the OntoLearner library via PiP:

pip install ontolearner

How to load an ontology or LLM4OL Paradigm tasks datasets?

from ontolearner import AMOntology

ontology = AMOntology()

# Load an ontology.
ontology.load()  

# Load (or extract) LLMs4OL Paradigm tasks datasets
data = ontology.extract()

How use the loaded dataset for LLM4OL Paradigm task settings?

from ontolearner import AMOntology, LearnerPipeline, train_test_split

ontology = AMOntology()
ontology.load() 
data = ontology.extract()

# Split into train and test sets
train_data, test_data = train_test_split(data, test_size=0.2)

# Create a learning pipeline (for RAG-based learning)
pipeline = LearnerPipeline(
    task = "term-typing",  # Other options: "taxonomy-discovery" or "non-taxonomy-discovery"
    retriever_id = "sentence-transformers/all-MiniLM-L6-v2", 
    llm_id = "mistralai/Mistral-7B-Instruct-v0.1",
    hf_token = "your_huggingface_token"  # Only needed for gated models
)

# Train and evaluate
results, metrics = pipeline.fit_predict_evaluate(
    train_data=train_data,
    test_data=test_data,
    top_k=3,
    test_limit=10
)

For more detailed documentation, see the

Citation

If you find our work helpful, feel free to give us a cite.

@inproceedings{babaei2023llms4ol,
  title={LLMs4OL: Large language models for ontology learning},
  author={Babaei Giglou, Hamed and D’Souza, Jennifer and Auer, S{\"o}ren},
  booktitle={International Semantic Web Conference},
  pages={408--427},
  year={2023},
  organization={Springer}
}