| Dublin Core Vocabulary (DublinCore) |
| ======================================================================================================================== |
|
|
| Overview |
| -------- |
| The Dublin Core Schema is a small set of vocabulary terms that can be used to describe several kinds of resources. |
| Dublin Core Metadata may be used for multiple purposes, from simple resource description, |
| to combining metadata vocabularies of different metadata standards, to providing interoperability |
| for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. |
|
|
| :Domain: General Knowledge |
| :Category: Metadata |
| :Current Version: 1.1 |
| :Last Updated: February 17, 2017 |
| :Creator: The Dublin Core Metadata Initiative |
| :License: Public Domain |
| :Format: RDF |
| :Download: `Dublin Core Vocabulary (DublinCore) Homepage <https://bioportal.bioontology.org/ontologies/DC>`_ |
|
|
| Graph Metrics |
| ------------- |
| - **Total Nodes**: 296 |
| - **Total Edges**: 632 |
| - **Root Nodes**: 1 |
| - **Leaf Nodes**: 210 |
|
|
| Knowledge coverage |
| ------------------ |
| - Classes: 11 |
| - Individuals: 26 |
| - Properties: 0 |
|
|
| Hierarchical metrics |
| -------------------- |
| - **Maximum Depth**: 1 |
| - **Minimum Depth**: 0 |
| - **Average Depth**: 0.50 |
| - **Depth Variance**: 0.25 |
|
|
| Breadth metrics |
| ------------------ |
| - **Maximum Breadth**: 1 |
| - **Minimum Breadth**: 1 |
| - **Average Breadth**: 1.00 |
| - **Breadth Variance**: 0.00 |
|
|
| Dataset Statistics |
| ------------------ |
| Generated Benchmarks: |
| - **Term Types**: 30 |
| - **Taxonomic Relations**: 0 |
| - **Non-taxonomic Relations**: 0 |
| - **Average Terms per Type**: 3.00 |
|
|
| Usage Example |
| ------------- |
| .. code-block:: python |
|
|
| from ontolearner.ontology import DublinCore |
|
|
| # Initialize and load ontology |
| ontology = DublinCore() |
| 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 |
|
|
