Material Ontology (MatOnto)

The Material Ontology (MatOnto) is a domain ontology for representing materials science knowledge, including materials, material categories, properties, units, symbols, crystal-related concepts, and thermodynamic or thermomechanical properties [1] [2]. It provides a structured vocabulary for describing material types such as metals, ceramics, composites, polymers, plastics, glasses, nanomaterials, and related material qualities [2].

MatOnto supports semantic annotation of materials data, enabling interoperability, data integration, retrieval, and reuse across materials science databases and informatics workflows [1]. The ontology includes concepts for measured properties such as band gap, heat capacity, specific heat, bulk modulus, shear modulus, Gibbs free energy, and other material-related quantities [2]. By providing a standardized vocabulary, MatOnto facilitates semantic search, materials information sharing, and knowledge integration in materials science and engineering [1] [2].

Example Usage: Annotate a materials database with MatOnto terms to specify material types such as metal, ceramic, polymer, or nanomaterial, together with properties such as band gap, heat capacity, bulk modulus, shear modulus, crystal system, and space group information, enabling semantic search and integration with materials informatics platforms [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

4753

Total Edges

11287

Root Nodes

33

Leaf Nodes

1063
Knowledge Coverage Statistics

Classes

1307

Individuals

122

Properties

95
Hierarchical Metrics

Maximum Depth

129

Minimum Depth

0

Average Depth

38.24

Depth Variance

1437.88
Breadth Metrics

Maximum Breadth

155

Minimum Breadth

1

Average Breadth

18.92

Breadth Variance

522.53
LLMs4OL Dataset Statistics

Term Types

122

Taxonomic Relations

1215

Non-taxonomic Relations

167

Average Terms per Type

1.94

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import MatOnto

ontology = MatOnto()
ontology.load("path/to/MatOnto-ontology.owl")

# Extract datasets
data = ontology.extract()

# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations

References