|
|
Citation Typing Ontology (CiTO) |
|
|
======================================================================================================================== |
|
|
|
|
|
Overview |
|
|
-------- |
|
|
The Citation Typing Ontology (CiTO) is an ontology that enables characterization of the nature or type of citations, |
|
|
both factually and rhetorically. |
|
|
|
|
|
:Domain: Scholarly Knowledge |
|
|
:Category: Scholarly Communication |
|
|
:Current Version: 2.8.1 |
|
|
:Last Updated: 2018-02-16 |
|
|
:Creator: Silvio Peroni, David Shotton |
|
|
:License: Creative Commons 4.0 |
|
|
:Format: OWL |
|
|
:Download: `Citation Typing Ontology (CiTO) Homepage <https://github.com/SPAROntologies/cito/tree/master/docs/current>`_ |
|
|
|
|
|
Graph Metrics |
|
|
------------- |
|
|
- **Total Nodes**: 312 |
|
|
- **Total Edges**: 574 |
|
|
- **Root Nodes**: 11 |
|
|
- **Leaf Nodes**: 182 |
|
|
|
|
|
Knowledge coverage |
|
|
------------------ |
|
|
- Classes: 10 |
|
|
- Individuals: 0 |
|
|
- Properties: 101 |
|
|
|
|
|
Hierarchical metrics |
|
|
-------------------- |
|
|
- **Maximum Depth**: 1 |
|
|
- **Minimum Depth**: 0 |
|
|
- **Average Depth**: 0.56 |
|
|
- **Depth Variance**: 0.25 |
|
|
|
|
|
Breadth metrics |
|
|
------------------ |
|
|
- **Maximum Breadth**: 14 |
|
|
- **Minimum Breadth**: 11 |
|
|
- **Average Breadth**: 12.50 |
|
|
- **Breadth Variance**: 2.25 |
|
|
|
|
|
Dataset Statistics |
|
|
------------------ |
|
|
Generated Benchmarks: |
|
|
- **Term Types**: 0 |
|
|
- **Taxonomic Relations**: 9 |
|
|
- **Non-taxonomic Relations**: 0 |
|
|
- **Average Terms per Type**: 0.00 |
|
|
|
|
|
Usage Example |
|
|
------------- |
|
|
.. code-block:: python |
|
|
|
|
|
from ontolearner.ontology import CiTO |
|
|
|
|
|
# Initialize and load ontology |
|
|
ontology = CiTO() |
|
|
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 |
|
|
|
