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Additive Manufacturing Ontology (AMOntology) |
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Overview |
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-------- |
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The AM ontology has been developed following two major milestones. The ontology developed within the first milestone |
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includes AMProcessOntology, ModelOntology and AMOntology files. AMProcessOntology contains the set of entities |
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used to capture knowledge about additive manufacturing processes. ModelOntology contains the set of entities |
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used to capture knowledge about modeling concepts that represent (possibly) multi-physics multi-scale processes. |
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AMOntology uses AMProcessOntology and ModelOntology files to describe entities that capture knowledge |
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about characteristics of computational models for AM processes. |
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:Domain: Materials Science and Engineering |
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:Category: Manufacturing |
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:Current Version: 1.0 |
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:Last Updated: 2023-05-10 |
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:Creator: Iassou Souroko, Ali Riza Durmaz |
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:License: Creative Commons Attribution 4.0 International (CC BY 4.0) |
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:Format: TTL |
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:Download: `Additive Manufacturing Ontology (AMOntology) Homepage <https://github.com/iassouroko/AMontology>`_ |
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Graph Metrics |
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- **Total Nodes**: 900 |
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- **Total Edges**: 2299 |
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- **Root Nodes**: 71 |
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- **Leaf Nodes**: 99 |
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Knowledge coverage |
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- Classes: 328 |
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- Individuals: 56 |
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- Properties: 21 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 15 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 4.66 |
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- **Depth Variance**: 11.25 |
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Breadth metrics |
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- **Maximum Breadth**: 116 |
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- **Minimum Breadth**: 1 |
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- **Average Breadth**: 55.50 |
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- **Breadth Variance**: 1339.25 |
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Dataset Statistics |
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------------------ |
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Generated Benchmarks: |
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- **Term Types**: 59 |
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- **Taxonomic Relations**: 657 |
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- **Non-taxonomic Relations**: 5 |
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- **Average Terms per Type**: 1.26 |
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Usage Example |
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.. code-block:: python |
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from ontolearner.ontology import AMOntology |
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# Initialize and load ontology |
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ontology = AMOntology() |
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ontology.load("path/to/ontology.TTL") |
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# Extract datasets |
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data = ontology.extract() |
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# Access specific relations |
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term_types = data.term_typings |
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taxonomic_relations = data.type_taxonomies |
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non_taxonomic_relations = data.type_non_taxonomic_relations |
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