|
|
Computer Science Ontology (CSO) |
|
|
======================================================================================================================== |
|
|
|
|
|
Overview |
|
|
-------- |
|
|
The Computer Science Ontology (CSO) is a large-scale ontology of research areas in computer science. |
|
|
It provides a comprehensive vocabulary of research topics in computing, organized in a hierarchical structure. |
|
|
|
|
|
This class processes the Computer Science Ontology (CSO) with custom hooks for: |
|
|
- Topic-based class detection |
|
|
- superTopicOf relationships |
|
|
- contributesTo relationships |
|
|
|
|
|
:Domain: Scholarly Knowledge |
|
|
:Category: Computer Science |
|
|
:Current Version: 3.4 |
|
|
:Last Updated: None |
|
|
:Creator: Knowledge Media Institute, Open University |
|
|
:License: Creative Commons 4.0 |
|
|
:Format: OWL |
|
|
:Download: `Computer Science Ontology (CSO) Homepage <https://cso.kmi.open.ac.uk/home>`_ |
|
|
|
|
|
Graph Metrics |
|
|
------------- |
|
|
- **Total Nodes**: 25897 |
|
|
- **Total Edges**: 152243 |
|
|
- **Root Nodes**: 94 |
|
|
- **Leaf Nodes**: 11199 |
|
|
|
|
|
Knowledge coverage |
|
|
------------------ |
|
|
- Classes: 0 |
|
|
- Individuals: 0 |
|
|
- Properties: 0 |
|
|
|
|
|
Hierarchical metrics |
|
|
-------------------- |
|
|
- **Maximum Depth**: 1 |
|
|
- **Minimum Depth**: 0 |
|
|
- **Average Depth**: 0.67 |
|
|
- **Depth Variance**: 0.22 |
|
|
|
|
|
Breadth metrics |
|
|
------------------ |
|
|
- **Maximum Breadth**: 187 |
|
|
- **Minimum Breadth**: 94 |
|
|
- **Average Breadth**: 140.50 |
|
|
- **Breadth Variance**: 2162.25 |
|
|
|
|
|
Dataset Statistics |
|
|
------------------ |
|
|
Generated Benchmarks: |
|
|
- **Term Types**: 0 |
|
|
- **Taxonomic Relations**: 44204 |
|
|
- **Non-taxonomic Relations**: 49080 |
|
|
- **Average Terms per Type**: 0.00 |
|
|
|
|
|
Usage Example |
|
|
------------- |
|
|
.. code-block:: python |
|
|
|
|
|
from ontolearner.ontology import CSO |
|
|
|
|
|
# Initialize and load ontology |
|
|
ontology = CSO() |
|
|
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 |
|
|
|
