Matolab Tensile Test Ontology (MOL_TENSILE)¶
The Matolab Tensile Test Ontology (MOL_TENSILE) is a domain ontology developed to describe the tensile test process [1]. It provides a structured vocabulary for representing tensile testing methods, equipment, test-related entities, and results in materials testing workflows [1].
MOL_TENSILE supports semantic annotation and integration of tensile testing data, enabling interoperability, semantic search, and reuse in materials informatics platforms [1]. By providing a standardized vocabulary for tensile testing, the ontology helps organize experimental testing information and supports knowledge sharing in materials testing applications [1].
Example Usage: Annotate a tensile testing dataset with MOL_TENSILE terms to specify test types, equipment, testing conditions, and results, enabling semantic search and integration with materials informatics platforms [1].
Metrics & Statistics¶
Total Nodes |
1970 |
Total Edges |
3602 |
Root Nodes |
132 |
Leaf Nodes |
1245 |
Classes |
371 |
Individuals |
20 |
Properties |
95 |
Maximum Depth |
90 |
Minimum Depth |
0 |
Average Depth |
16.30 |
Depth Variance |
665.10 |
Maximum Breadth |
285 |
Minimum Breadth |
2 |
Average Breadth |
11.49 |
Breadth Variance |
1763.74 |
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