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| EMMO-based ontology for microstructures (MicroStructures) | |
| ======================================================================================================================== | |
| Overview | |
| -------- | |
| 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. | |
| Materials Science and Engineering | |
| Microstructure | |
| None | |
| None | |
| None | |
| None | |
| OWL | |
| `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 | |
| -------------------- | |
| - **Maximum Depth**: 1 | |
| - **Minimum Depth**: 0 | |
| - **Average Depth**: 0.67 | |
| - **Depth Variance**: 0.22 | |
| Breadth metrics | |
| ------------------ | |
| - **Maximum Breadth**: 2 | |
| - **Minimum Breadth**: 1 | |
| - **Average Breadth**: 1.50 | |
| - **Breadth Variance**: 0.25 | |
| Dataset Statistics | |
| ------------------ | |
| Generated Benchmarks: | |
| - **Term Types**: 0 | |
| - **Taxonomic Relations**: 17 | |
| - **Non-taxonomic Relations**: 0 | |
| - **Average Terms per Type**: 0.00 | |
| Usage Example | |
| ------------- | |
| .. 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 | |