| Pre-Modern Ontology (PreMOn) |
| ======================================================================================================================== |
|
|
| Overview |
| -------- |
| The PreMOn Ontology is an extension of lemon (W3C Ontology Lexicon Community Group, 2015) |
| for representing predicate models and their mappings. The Core Module of the PreMOn Ontology |
| defines the main abstractions for modelling semantic classes with their semantic roles, |
| mappings between different predicate models, and annotations. |
|
|
| :Domain: Scholarly Knowledge |
| :Category: Linguistics |
| :Current Version: 2018a |
| :Last Updated: 2018-02-15 |
| :Creator: Francesco Corcoglioniti, Marco Rospocher <https://dkm.fbk.eu/rospocher> |
| :License: Creative Commons 4.0 |
| :Format: OWL |
| :Download: `Pre-Modern Ontology (PreMOn) Homepage <https://premon.fbk.eu/ontology/core#>`_ |
|
|
| Graph Metrics |
| ------------- |
| - **Total Nodes**: 115 |
| - **Total Edges**: 213 |
| - **Root Nodes**: 13 |
| - **Leaf Nodes**: 45 |
|
|
| Knowledge coverage |
| ------------------ |
| - Classes: 15 |
| - Individuals: 0 |
| - Properties: 16 |
|
|
| Hierarchical metrics |
| -------------------- |
| - **Maximum Depth**: 6 |
| - **Minimum Depth**: 0 |
| - **Average Depth**: 1.80 |
| - **Depth Variance**: 3.33 |
|
|
| Breadth metrics |
| ------------------ |
| - **Maximum Breadth**: 20 |
| - **Minimum Breadth**: 2 |
| - **Average Breadth**: 7.29 |
| - **Breadth Variance**: 38.49 |
|
|
| Dataset Statistics |
| ------------------ |
| Generated Benchmarks: |
| - **Term Types**: 0 |
| - **Taxonomic Relations**: 17 |
| - **Non-taxonomic Relations**: 0 |
| - **Average Terms per Type**: 0.00 |
|
|
| Usage Example |
| ------------- |
| .. code-block:: python |
|
|
| from ontolearner.ontology import PreMOn |
|
|
| # Initialize and load ontology |
| ontology = PreMOn() |
| 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 |
|
|
