Andrei Aioanei
Update events domain with 3 ontologies
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Conference Ontology (Conference)
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Overview
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The conference-ontology is a new self-contained ontology for modeling knowledge about conferences.
The conference-ontology adopts the best ontology design practices (e.g., Ontology Design Patterns,
ontology reuse and interlinking) and guarantees interoperability with SWC ontology
and all other pertinent vocabularies.
:Domain: Events
:Category: Conferences
:Current Version: None
:Last Updated: 2016/04/30
:Creator: Aldo Gangemi et al.
:License: Creative Commons 3.0
:Format: OWL
:Download: `Conference Ontology (Conference) Homepage <http://www.scholarlydata.org/ontology/conference-ontology.owl>`_
Graph Metrics
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- **Total Nodes**: 243
- **Total Edges**: 652
- **Root Nodes**: 8
- **Leaf Nodes**: 61
Knowledge coverage
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- Classes: 42
- Individuals: 32
- Properties: 52
Hierarchical metrics
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- **Maximum Depth**: 11
- **Minimum Depth**: 0
- **Average Depth**: 4.60
- **Depth Variance**: 6.67
Breadth metrics
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- **Maximum Breadth**: 25
- **Minimum Breadth**: 3
- **Average Breadth**: 12.42
- **Breadth Variance**: 49.74
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 32
- **Taxonomic Relations**: 184
- **Non-taxonomic Relations**: 3
- **Average Terms per Type**: 10.67
Usage Example
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.. code-block:: python
from ontolearner.ontology import ConferenceOntology
# Initialize and load ontology
ontology = ConferenceOntology()
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