File size: 2,048 Bytes
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Overview
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ASMO is an ontology that aims to define the concepts needed to describe commonly
used atomic scale simulation methods, i.e. density functional theory, molecular dynamics,
Monte Carlo methods, etc. ASMO uses the Provenance Ontology (PROV-O) to describe the simulation process.
:Domain: Materials Science and Engineering
:Category: Materials Science
:Current Version: 1.0.0
: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: `Atomistic Simulation Methods Ontology (ASMO) Homepage <https://github.com/OCDO/asmo?tab=readme-ov-file#atomistic-simulation-methods-ontology-asmo>`_
Graph Metrics
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- **Total Nodes**: 588
- **Total Edges**: 1058
- **Root Nodes**: 23
- **Leaf Nodes**: 360
Knowledge coverage
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- Classes: 99
- Individuals: 30
- Properties: 41
Hierarchical metrics
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- **Maximum Depth**: 5
- **Minimum Depth**: 0
- **Average Depth**: 1.71
- **Depth Variance**: 1.87
Breadth metrics
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- **Maximum Breadth**: 27
- **Minimum Breadth**: 3
- **Average Breadth**: 15.17
- **Breadth Variance**: 70.14
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 30
- **Taxonomic Relations**: 99
- **Non-taxonomic Relations**: 2
- **Average Terms per Type**: 3.75
Usage Example
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.. code-block:: python
from ontolearner.ontology import ASMO
# Initialize and load ontology
ontology = ASMO()
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
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