File size: 1,738 Bytes
4c2243d 8105eca 4c2243d 8105eca 4c2243d 8105eca 4c2243d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | Common Ontology (Common)
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Overview
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Ontology for the representation of commons elements in the Trias ontology
:Domain: Education
:Category: Computer Science
:Current Version: 0.1.0
:Last Updated: None
:Creator: Jhon Toledo, Miguel Angel García, Oscar Corcho
:License: Creative Commons Attribution 4.0 International (CC BY 4.0)
:Format: RDF
:Download: `Common Ontology (Common) Homepage <https://w3id.org/mobility/trias/common/0.1.0>`_
Graph Metrics
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- **Total Nodes**: 67
- **Total Edges**: 131
- **Root Nodes**: 8
- **Leaf Nodes**: 30
Knowledge coverage
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- Classes: 6
- Individuals: 0
- Properties: 15
Hierarchical metrics
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- **Maximum Depth**: 1
- **Minimum Depth**: 0
- **Average Depth**: 0.27
- **Depth Variance**: 0.20
Breadth metrics
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- **Maximum Breadth**: 8
- **Minimum Breadth**: 3
- **Average Breadth**: 5.50
- **Breadth Variance**: 6.25
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 0
- **Taxonomic Relations**: 0
- **Non-taxonomic Relations**: 0
- **Average Terms per Type**: 0.00
Usage Example
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.. code-block:: python
from ontolearner.ontology import Common
# Initialize and load ontology
ontology = Common()
ontology.load("path/to/ontology.RDF")
# 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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