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Common Core Ontologies (CCO) |
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Overview |
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-------- |
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The Common Core Ontologies (CCO) is a widely-used suite of eleven ontologies that consist |
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of logically well-defined generic terms and relations among them reflecting entities across all domains of interest. |
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:Domain: General Knowledge |
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:Category: General |
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:Current Version: 2.0 |
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:Last Updated: 2024-11-06 |
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:Creator: None |
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:License: BSD-3-Clause license |
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:Format: TTL |
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:Download: `Common Core Ontologies (CCO) Homepage <https://github.com/CommonCoreOntology/CommonCoreOntologies>`_ |
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Graph Metrics |
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- **Total Nodes**: 6002 |
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- **Total Edges**: 13554 |
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- **Root Nodes**: 19 |
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- **Leaf Nodes**: 3389 |
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Knowledge coverage |
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- Classes: 1539 |
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- Individuals: 350 |
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- Properties: 277 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 10 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 4.35 |
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- **Depth Variance**: 5.00 |
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Breadth metrics |
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------------------ |
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- **Maximum Breadth**: 56 |
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- **Minimum Breadth**: 2 |
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- **Average Breadth**: 23.18 |
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- **Breadth Variance**: 276.88 |
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Dataset Statistics |
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------------------ |
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Generated Benchmarks: |
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- **Term Types**: 362 |
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- **Taxonomic Relations**: 1532 |
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- **Non-taxonomic Relations**: 21 |
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- **Average Terms per Type**: 10.06 |
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Usage Example |
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.. code-block:: python |
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from ontolearner.ontology import CCO |
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# Initialize and load ontology |
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ontology = CCO() |
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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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