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DataCite Ontology (DataCite)
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Overview
--------
The DataCite Ontology (DataCite) is an ontology that enables the metadata properties
of the DataCite Metadata Schema Specification (i.e., a list of metadata properties
for the accurate and consistent identification of a resource for citation
and retrieval purposes) to be described in RDF.
:Domain: Scholarly Knowledge
:Category: Metadata
:Current Version: 3.1
:Last Updated: 15/09/2022
:Creator: David Shotton, Silvio Peroni
:License: Creative Commons 4.0
:Format: RDF
:Download: `DataCite Ontology (DataCite) Homepage <https://schema.datacite.org/>`_
Graph Metrics
-------------
- **Total Nodes**: 260
- **Total Edges**: 519
- **Root Nodes**: 14
- **Leaf Nodes**: 120
Knowledge coverage
------------------
- Classes: 19
- Individuals: 70
- Properties: 10
Hierarchical metrics
--------------------
- **Maximum Depth**: 8
- **Minimum Depth**: 0
- **Average Depth**: 3.21
- **Depth Variance**: 5.93
Breadth metrics
------------------
- **Maximum Breadth**: 14
- **Minimum Breadth**: 3
- **Average Breadth**: 7.56
- **Breadth Variance**: 9.80
Dataset Statistics
------------------
Generated Benchmarks:
- **Term Types**: 71
- **Taxonomic Relations**: 27
- **Non-taxonomic Relations**: 2
- **Average Terms per Type**: 8.88
Usage Example
-------------
.. code-block:: python
from ontolearner.ontology import DataCite
# Initialize and load ontology
ontology = DataCite()
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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