Matolab Tensile Test Ontology (MOL_TENSILE)

The Matolab Tensile Test Ontology (MOL_TENSILE) is a domain ontology developed to describe the tensile test 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_TENSILE supports the integration of data from experimental studies and simulations, promoting interoperability and data-driven research in materials testing.

Typical applications of MOL_TENSILE 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_TENSILE enhances collaboration and innovation in the field of materials testing.

Metrics & Statistics

Graph Statistics

Total Nodes

1970

Total Edges

3602

Root Nodes

132

Leaf Nodes

1245
Knowledge Coverage Statistics

Classes

371

Individuals

20

Properties

95
Hierarchical Metrics

Maximum Depth

90

Minimum Depth

0

Average Depth

16.30

Depth Variance

665.10
Breadth Metrics

Maximum Breadth

285

Minimum Breadth

2

Average Breadth

11.49

Breadth Variance

1763.74
LLMs4OL Dataset Statistics

Term Types

20

Taxonomic Relations

370

Non-taxonomic Relations

20

Average Terms per Type

6.67

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import MOLTENSILE

ontology = MOLTENSILE()
ontology.load("path/to/MOLTENSILE-ontology.rdf")

# 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

Annotate a tensile testing dataset with MOL_TENSILE terms to specify test types, equipment, and results, enabling semantic search and integration with materials informatics platforms.