Andrei Aioanei
Update materials_science_and_engineering domain with 50 ontologies
230484d
Computational Material Sample Ontology (CMSO)
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Overview
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CMSO is an ontology that aims to describe computational materials science samples (or structures),
including crystalline defects. Initially focusing on the description at the atomic scale.
:Domain: Materials Science and Engineering
:Category: Materials Science
:Current Version: 0.0.1
:Last Updated: None
:Creator: https://orcid.org/0000-0001-7564-7990
:License: Creative Commons Attribution 4.0 International (CC BY 4.0)
:Format: OWL
:Download: `Computational Material Sample Ontology (CMSO) Homepage <https://github.com/OCDO/cmso/tree/main>`_
Graph Metrics
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- **Total Nodes**: 347
- **Total Edges**: 556
- **Root Nodes**: 40
- **Leaf Nodes**: 192
Knowledge coverage
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- Classes: 45
- Individuals: 0
- Properties: 51
Hierarchical metrics
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- **Maximum Depth**: 2
- **Minimum Depth**: 0
- **Average Depth**: 0.56
- **Depth Variance**: 0.40
Breadth metrics
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- **Maximum Breadth**: 40
- **Minimum Breadth**: 6
- **Average Breadth**: 26.00
- **Breadth Variance**: 210.67
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 0
- **Taxonomic Relations**: 22
- **Non-taxonomic Relations**: 1
- **Average Terms per Type**: 0.00
Usage Example
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.. code-block:: python
from ontolearner.ontology import CMSO
# Initialize and load ontology
ontology = CMSO()
ontology.load("path/to/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