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Crystallographic Information Framework Core Dictionary (CIFCore) |
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Overview |
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-------- |
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(1) to explain the historical development of CIF dictionaries to define in a machine-actionable manner the contents |
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of data files covering various aspects of crystallography and related structural sciences; (2) to demonstrate |
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some of the more complex types of information that can be handled with this approach. |
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:Domain: Materials Science and Engineering |
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:Category: Materials Science |
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:Current Version: 0.1.0 |
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:Last Updated: May 24, 2023 |
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:Creator: None |
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:License: Creative Commons Attribution 4.0 International (CC BY 4.0) |
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:Format: TTL |
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:Download: `Crystallographic Information Framework Core Dictionary (CIFCore) Homepage <https://github.com/emmo-repo/CIF-ontology?tab=readme-ov-file>`_ |
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Graph Metrics |
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------------- |
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- **Total Nodes**: 4494 |
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- **Total Edges**: 15377 |
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- **Root Nodes**: 1 |
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- **Leaf Nodes**: 3310 |
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Knowledge coverage |
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------------------ |
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- Classes: 1182 |
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- Individuals: 0 |
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- Properties: 0 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 1 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 0.75 |
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- **Depth Variance**: 0.19 |
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Breadth metrics |
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------------------ |
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- **Maximum Breadth**: 3 |
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- **Minimum Breadth**: 1 |
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- **Average Breadth**: 2.00 |
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- **Breadth Variance**: 1.00 |
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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**: 27150 |
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- **Non-taxonomic Relations**: 0 |
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- **Average Terms per Type**: 0.00 |
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Usage Example |
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------------- |
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.. code-block:: python |
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from ontolearner.ontology import CIFCore |
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# Initialize and load ontology |
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ontology = CIFCore() |
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ontology.load("path/to/ontology.TTL") |
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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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