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Chemical Methods Ontology (ChMO) |
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Overview |
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-------- |
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The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: |
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- collect data in chemical experiments, such as mass spectrometry and electron microscopy. |
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- prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis |
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- synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used |
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in these experiments, such as mass spectrometers and chromatography columns and their outputs. |
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:Domain: Chemistry |
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:Category: Chemistry |
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:Current Version: None |
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:Last Updated: 2022-04-19 |
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:Creator: None |
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:License: Creative Commons 4.0 |
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:Format: OWL, TTL, CSV, NT |
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:Download: `Chemical Methods Ontology (ChMO) Homepage <https://github.com/rsc-ontologies/rsc-cmo>`_ |
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Graph Metrics |
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------------- |
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- **Total Nodes**: 24075 |
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- **Total Edges**: 44651 |
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- **Root Nodes**: 3100 |
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- **Leaf Nodes**: 17250 |
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Knowledge coverage |
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------------------ |
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- Classes: 3202 |
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- Individuals: 0 |
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- Properties: 27 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 7 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 1.49 |
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- **Depth Variance**: 0.63 |
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Breadth metrics |
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------------------ |
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- **Maximum Breadth**: 13439 |
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- **Minimum Breadth**: 1 |
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- **Average Breadth**: 2993.88 |
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- **Breadth Variance**: 20855464.86 |
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Dataset Statistics |
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------------------ |
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Generated Benchmarks: |
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- **Term Types**: 0 |
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- **Taxonomic Relations**: 4268 |
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- **Non-taxonomic Relations**: 114 |
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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 ChMO |
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# Initialize and load ontology |
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ontology = ChMO() |
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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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