System Capabilities Ontology (SystemCapabilities)

The System Capabilities Ontology (SystemCapabilities) is designed to describe system capabilities, operating ranges, and survival ranges in materials science and engineering. It provides a structured vocabulary for representing the capabilities and limitations of systems, supporting both theoretical and experimental research in materials science.

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

Typical applications of SystemCapabilities include the development of new systems with specific capabilities, the optimization of system performance, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, SystemCapabilities enhances collaboration and innovation in the field of materials science.

Example Usage: Annotate a materials science project with SystemCapabilities terms to specify system types, capabilities, and ranges, enabling semantic search and integration with materials informatics platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

137

Total Edges

268

Root Nodes

14

Leaf Nodes

47
Knowledge Coverage Statistics

Classes

25

Individuals

3

Properties

8
Hierarchical Metrics

Maximum Depth

1

Minimum Depth

0

Average Depth

0.22

Depth Variance

0.17
Breadth Metrics

Maximum Breadth

14

Minimum Breadth

4

Average Breadth

9.00

Breadth Variance

25.00
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

45

Non-taxonomic Relations

0

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import SystemCapabilities

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