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EMMO-based ontology for microstructures (MicroStructures)
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Overview
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This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition,
particles, both stable (primary) and metastable (precipitates), grains, subgrains,
grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support
both microstructure modelling as well as characterisation.
:Domain: Materials Science and Engineering
:Category: Microstructure
:Current Version: None
:Last Updated: None
:Creator: None
:License: None
:Format: OWL
:Download: `EMMO-based ontology for microstructures (MicroStructures) Homepage <https://github.com/jesper-friis/emmo-microstructure>`_
Graph Metrics
-------------
- **Total Nodes**: 115
- **Total Edges**: 287
- **Root Nodes**: 1
- **Leaf Nodes**: 37
Knowledge coverage
------------------
- Classes: 43
- Individuals: 0
- Properties: 0
Hierarchical metrics
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- **Maximum Depth**: 1
- **Minimum Depth**: 0
- **Average Depth**: 0.67
- **Depth Variance**: 0.22
Breadth metrics
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- **Maximum Breadth**: 2
- **Minimum Breadth**: 1
- **Average Breadth**: 1.50
- **Breadth Variance**: 0.25
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 0
- **Taxonomic Relations**: 17
- **Non-taxonomic Relations**: 0
- **Average Terms per Type**: 0.00
Usage Example
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.. code-block:: python
from ontolearner.ontology import MicroStructures
# Initialize and load ontology
ontology = MicroStructures()
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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