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Extensible Observation Ontology (OBOE) |
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======================================================================================================================== |
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Overview |
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-------- |
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The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics |
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of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations |
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to scientific data, thereby clarifying the inherent meaning of scientific observations. |
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:Domain: Scholarly Knowledge |
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:Category: Scientific Observation |
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:Current Version: 1.2 |
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:Last Updated: None |
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:Creator: The Regents of the University of California |
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:License: Creative Commons 3.0 |
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:Format: OWL |
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:Download: `Extensible Observation Ontology (OBOE) Homepage <https://terminology.tib.eu/ts/ontologies/OBOE>`_ |
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Graph Metrics |
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- **Total Nodes**: 1868 |
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- **Total Edges**: 5017 |
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- **Root Nodes**: 169 |
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- **Leaf Nodes**: 156 |
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Knowledge coverage |
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- Classes: 478 |
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- Individuals: 0 |
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- Properties: 30 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 11 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 2.96 |
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- **Depth Variance**: 4.93 |
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Breadth metrics |
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- **Maximum Breadth**: 480 |
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- **Minimum Breadth**: 6 |
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- **Average Breadth**: 153.33 |
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- **Breadth Variance**: 18183.39 |
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Dataset Statistics |
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Generated Benchmarks: |
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- **Term Types**: 0 |
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- **Taxonomic Relations**: 819 |
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- **Non-taxonomic Relations**: 60 |
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- **Average Terms per Type**: 0.00 |
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Usage Example |
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.. code-block:: python |
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from ontolearner.ontology import OBOE |
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# Initialize and load ontology |
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ontology = OBOE() |
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ontology.load("path/to/ontology.OWL") |
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# Extract datasets |
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data = ontology.extract() |
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# Access specific relations |
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term_types = data.term_typings |
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taxonomic_relations = data.type_taxonomies |
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non_taxonomic_relations = data.type_non_taxonomic_relations |
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