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The ontology of data analysis and management (EDAM) |
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Overview |
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EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. |
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It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targetting usability by diverse users, |
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the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format. |
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:Domain: General Knowledge |
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:Category: General |
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:Current Version: 1.25-20240924T0027Z-unstable(1.26) |
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:Last Updated: 24.09.2024 |
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:Creator: Federico Bianchini, Hervé Ménager, Jon Ison, Matúš Kalaš |
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:License: Creative Commons 4.0 |
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:Format: OWL |
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:Download: `The ontology of data analysis and management (EDAM) Homepage <https://terminology.tib.eu/ts/ontologies/edam>`_ |
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Graph Metrics |
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- **Total Nodes**: 12367 |
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- **Total Edges**: 36215 |
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- **Root Nodes**: 176 |
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- **Leaf Nodes**: 8223 |
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Knowledge coverage |
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- Classes: 3513 |
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- Individuals: 0 |
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- Properties: 12 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 10 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 2.75 |
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- **Depth Variance**: 4.24 |
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Breadth metrics |
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- **Maximum Breadth**: 635 |
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- **Minimum Breadth**: 5 |
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- **Average Breadth**: 196.55 |
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- **Breadth Variance**: 31795.52 |
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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**: 7916 |
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- **Non-taxonomic Relations**: 1314 |
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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 EDAM |
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# Initialize and load ontology |
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ontology = EDAM() |
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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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