MatoLab Brinell Test Ontology (MOL_BRINELL)

The MatoLab Brinell Test Ontology (MOL_BRINELL) is a domain ontology developed to describe the Brinell hardness testing process. It provides a structured vocabulary for representing the testing methods, equipment, and results, supporting both experimental and computational research in materials testing.

The ontology employs a class-based modeling approach, defining classes for different types of tests, equipment, and results, along with properties to describe their characteristics and interactions. Hierarchies are used to organize classes into categories, enabling efficient data retrieval and analysis. MOL_BRINELL supports the integration of data from experimental studies and simulations, promoting interoperability and data-driven research in materials testing.

Typical applications of MOL_BRINELL include the development of new testing methods, the optimization of testing procedures, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, MOL_BRINELL enhances collaboration and innovation in the field of materials testing.

Example Usage: Annotate a Brinell hardness testing dataset with MOL_BRINELL terms to specify test types, equipment, and results, enabling semantic search and integration with materials informatics platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

3648

Total Edges

16347

Root Nodes

29

Leaf Nodes

308
Knowledge Coverage Statistics

Classes

37

Individuals

3053

Properties

21
Hierarchical Metrics

Maximum Depth

2

Minimum Depth

0

Average Depth

0.26

Depth Variance

0.25
Breadth Metrics

Maximum Breadth

29

Minimum Breadth

1

Average Breadth

12.67

Breadth Variance

141.56
LLMs4OL Dataset Statistics

Term Types

3053

Taxonomic Relations

14

Non-taxonomic Relations

0

Average Terms per Type

105.28

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import MOLBRINELL

ontology = MOLBRINELL()
ontology.load("path/to/MOLBRINELL-ontology.ttl")

# 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