The Platform MaterialDigital core ontology (PMDco)

The ontology employs a class-based modeling approach, defining classes for different types of materials, processes, and data, along with properties to describe their characteristics and interactions. Hierarchies are used to organize classes into categories, enabling efficient data retrieval and analysis. PMDco supports the integration of data from various sources, promoting interoperability and data-driven research in materials science.

Typical applications of PMDco include the development of new materials with specific properties, the optimization of materials for industrial applications, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, PMDco enhances collaboration and innovation in the field of materials science.

Example Usage: Annotate a materials science project with PMDco terms to specify material types, processes, and data, enabling semantic search and integration with materials informatics platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

4207

Total Edges

8103

Root Nodes

85

Leaf Nodes

2365
Knowledge Coverage Statistics

Classes

1002

Individuals

0

Properties

66
Hierarchical Metrics

Maximum Depth

19

Minimum Depth

0

Average Depth

3.90

Depth Variance

11.78
Breadth Metrics

Maximum Breadth

161

Minimum Breadth

1

Average Breadth

40.45

Breadth Variance

2084.25
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

903

Non-taxonomic Relations

19

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import PMDco

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