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Food Ontology (FoodON) |
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Overview |
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-------- |
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FoodOn, the food ontology, contains vocabulary for naming food materials and their anatomical and taxonomic origins, |
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from raw harvested food to processed food products, for humans and domesticated animals. |
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It provides a neutral and ontology-driven standard for government agencies, |
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industry, nonprofits and consumers to name and reference food products and their components |
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throughout the food supply chain. |
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:Domain: Agricultural |
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:Category: Diet, Metabolomics, and Nutrition |
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:Current Version: None |
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:Last Updated: 2025-01-16 |
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:Creator: None |
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:License: Creative Commons 4.0 |
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:Format: OWL |
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:Download: `Food Ontology (FoodON) Homepage <http://purl.obolibrary.org/obo/foodon.owl>`_ |
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Graph Metrics |
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- **Total Nodes**: 176584 |
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- **Total Edges**: 423840 |
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- **Root Nodes**: 4834 |
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- **Leaf Nodes**: 90848 |
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Knowledge coverage |
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- Classes: 47261 |
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- Individuals: 16 |
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- Properties: 197 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 23 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 2.24 |
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- **Depth Variance**: 4.81 |
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Breadth metrics |
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- **Maximum Breadth**: 11122 |
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- **Minimum Breadth**: 2 |
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- **Average Breadth**: 1217.12 |
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- **Breadth Variance**: 6546794.36 |
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Dataset Statistics |
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Generated Benchmarks: |
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- **Term Types**: 16 |
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- **Taxonomic Relations**: 76235 |
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- **Non-taxonomic Relations**: 2072 |
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- **Average Terms per Type**: 8.00 |
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Usage Example |
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.. code-block:: python |
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from ontolearner.ontology import FoodOn |
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# Initialize and load ontology |
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ontology = FoodOn() |
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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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