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