| Chemical Methods Ontology (ChMO) |
| ======================================================================================================================== |
|
|
| Overview |
| -------- |
| The Chemical Methods Ontology contains more than 3000 classes and describes methods used to: |
| - collect data in chemical experiments, such as mass spectrometry and electron microscopy. |
| - prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis |
| - synthesise materials, such as epitaxy and continuous vapour deposition It also describes the instruments used |
| in these experiments, such as mass spectrometers and chromatography columns and their outputs. |
|
|
| :Domain: Chemistry |
| :Category: Chemistry |
| :Current Version: None |
| :Last Updated: 2022-04-19 |
| :Creator: None |
| :License: Creative Commons 4.0 |
| :Format: OWL |
| :Download: `Chemical Methods Ontology (ChMO) Homepage <https://github.com/rsc-ontologies/rsc-cmo>`_ |
|
|
| Graph Metrics |
| ------------- |
| - **Total Nodes**: 24075 |
| - **Total Edges**: 44651 |
| - **Root Nodes**: 3100 |
| - **Leaf Nodes**: 17250 |
|
|
| Knowledge coverage |
| ------------------ |
| - Classes: 3202 |
| - Individuals: 0 |
| - Properties: 27 |
|
|
| Hierarchical metrics |
| -------------------- |
| - **Maximum Depth**: 7 |
| - **Minimum Depth**: 0 |
| - **Average Depth**: 1.49 |
| - **Depth Variance**: 0.63 |
|
|
| Breadth metrics |
| ------------------ |
| - **Maximum Breadth**: 13439 |
| - **Minimum Breadth**: 1 |
| - **Average Breadth**: 2993.88 |
| - **Breadth Variance**: 20855464.86 |
|
|
| Dataset Statistics |
| ------------------ |
| Generated Benchmarks: |
| - **Term Types**: 0 |
| - **Taxonomic Relations**: 3601 |
| - **Non-taxonomic Relations**: 1 |
| - **Average Terms per Type**: 0.00 |
|
|
| Usage Example |
| ------------- |
| .. code-block:: python |
|
|
| from ontolearner.ontology import ChMO |
|
|
| # Initialize and load ontology |
| ontology = ChMO() |
| 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 |
|
|
