Andrei Aioanei
Update materials_science_and_engineering domain with 50 ontologies
230484d
MatoLab Brinell Test Ontology (MOL_BRINELL)
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Overview
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An ontology for describing the Brinell hardness testing process, made in the Materials Open Lab Project.
:Domain: Materials Science and Engineering
:Category: Materials Testing
:Current Version: 0.1
:Last Updated: 05/05/2022
:Creator: Birgit Skrotzki, Hossein Beygi Nasrabadi, Philipp von Hartrott, Vinicius Carrillo Beber, Yue Chen
:License: None
:Format: TTL
:Download: `MatoLab Brinell Test Ontology (MOL_BRINELL) Homepage <https://matportal.org/ontologies/MOL_BRINELL>`_
Graph Metrics
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- **Total Nodes**: 3648
- **Total Edges**: 16347
- **Root Nodes**: 29
- **Leaf Nodes**: 308
Knowledge coverage
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- Classes: 37
- Individuals: 3053
- Properties: 21
Hierarchical metrics
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- **Maximum Depth**: 2
- **Minimum Depth**: 0
- **Average Depth**: 0.26
- **Depth Variance**: 0.25
Breadth metrics
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- **Maximum Breadth**: 29
- **Minimum Breadth**: 1
- **Average Breadth**: 12.67
- **Breadth Variance**: 141.56
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 3053
- **Taxonomic Relations**: 14
- **Non-taxonomic Relations**: 0
- **Average Terms per Type**: 105.28
Usage Example
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.. code-block:: python
from ontolearner.ontology import MOLBRINELL
# Initialize and load ontology
ontology = MOLBRINELL()
ontology.load("path/to/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