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PRovenance Information in MAterials science (PRIMA) |
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Overview |
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-------- |
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An ontology that captures the provenance information in the materials science domain. |
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:Domain: Materials Science and Engineering |
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:Category: Materials Science |
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:Current Version: 2.0 |
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:Last Updated: 2024-01-29 |
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:Creator: Ahmad Zainul Ihsan, Mehrdad Jalali, Rossella Aversa |
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:License: Creative Commons Attribution 3.0 Unported (CC BY 3.0) |
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:Format: TTL |
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:Download: `PRovenance Information in MAterials science (PRIMA) Homepage <https://materials-data-science-and-informatics.github.io/MDMC-NEP-top-level-ontology/PRIMA/complete/ver_2_0/index.html>`_ |
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Graph Metrics |
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------------- |
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- **Total Nodes**: 444 |
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- **Total Edges**: 1073 |
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- **Root Nodes**: 18 |
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- **Leaf Nodes**: 135 |
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Knowledge coverage |
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- Classes: 67 |
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- Individuals: 0 |
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- Properties: 67 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 14 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 4.39 |
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- **Depth Variance**: 16.39 |
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Breadth metrics |
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- **Maximum Breadth**: 27 |
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- **Minimum Breadth**: 2 |
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- **Average Breadth**: 7.80 |
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- **Breadth Variance**: 48.56 |
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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**: 186 |
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- **Non-taxonomic Relations**: 1 |
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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 PRIMA |
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# Initialize and load ontology |
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ontology = PRIMA() |
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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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