Material Information Ontology (MaterialInformation)

The Material Information Ontology is based on Ashino’s materials ontology framework for exchanging materials information and knowledge across heterogeneous materials databases [1]. It provides a computer-readable concept map for materials science and engineering, using Semantic Web ontology language to describe materials-related concepts and relationships [1].

The ontology is organized into sub-ontologies for key materials-information areas such as substance, process, environment, and property [1]. It supports metadata description, data exchange, information integration, and retrieval across distributed materials databases [1]. By providing a structured vocabulary, the Material Information Ontology helps improve interoperability, materials information sharing, and knowledge reuse in materials science and engineering [1].

Example Usage: Annotate a materials database with Material Information Ontology terms to specify substances, material properties, processing conditions, and environmental information, enabling semantic search, data exchange, and integration across heterogeneous materials informatics platforms [1].

Metrics & Statistics

Graph Statistics

Total Nodes

1155

Total Edges

2343

Root Nodes

596

Leaf Nodes

48
Knowledge Coverage Statistics

Classes

548

Individuals

410

Properties

98
Hierarchical Metrics

Maximum Depth

11

Minimum Depth

0

Average Depth

0.82

Depth Variance

2.11
Breadth Metrics

Maximum Breadth

596

Minimum Breadth

1

Average Breadth

96.08

Breadth Variance

36614.24
LLMs4OL Dataset Statistics

Term Types

404

Taxonomic Relations

605

Non-taxonomic Relations

30

Average Terms per Type

1.03

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import MaterialInformation

ontology = MaterialInformation()
ontology.load("path/to/MaterialInformation-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