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SMART Protocols Ontology: Workflow Module (SP-Workflow) |
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======================================================================================================================== |
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Overview |
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-------- |
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SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions |
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and material entities that participates in instructions (sample/specimen, organisms, reagents, |
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instruments); and iii) the order of execution of the instructions. |
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:Domain: Scholarly Knowledge |
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:Category: Workflows |
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:Current Version: 4.0 |
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:Last Updated: 2013-07-01 |
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:Creator: http://oxgiraldo.wordpress.com |
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:License: Creative Commons Attribution 4.0 International (CC BY 4.0) |
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:Format: OWL |
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:Download: `SMART Protocols Ontology: Workflow Module (SP-Workflow) Homepage <https://github.com/SMARTProtocols/SMART-Protocols>`_ |
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Graph Metrics |
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------------- |
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- **Total Nodes**: 1446 |
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- **Total Edges**: 3017 |
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- **Root Nodes**: 4 |
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- **Leaf Nodes**: 834 |
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Knowledge coverage |
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------------------ |
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- Classes: 419 |
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- Individuals: 5 |
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- Properties: 17 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 13 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 7.23 |
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- **Depth Variance**: 8.19 |
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Breadth metrics |
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------------------ |
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- **Maximum Breadth**: 36 |
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- **Minimum Breadth**: 3 |
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- **Average Breadth**: 14.07 |
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- **Breadth Variance**: 120.78 |
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Dataset Statistics |
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Generated Benchmarks: |
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- **Term Types**: 5 |
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- **Taxonomic Relations**: 577 |
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- **Non-taxonomic Relations**: 22 |
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- **Average Terms per Type**: 1.00 |
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Usage Example |
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.. code-block:: python |
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from ontolearner.ontology import SPWorkflow |
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# Initialize and load ontology |
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ontology = SPWorkflow() |
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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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