IBPA/LOVE
Learning Ontologies Via Embeddings
This project helps food scientists and researchers to automatically build and maintain food ontologies, which are structured systems for organizing food-related knowledge. It takes an existing ontology scaffold and uses word embeddings to semi-automatically expand and refine it, outputting a more comprehensive and accurate food ontology. This tool is for researchers or data managers working with complex food data.
No commits in the last 6 months.
Use this if you need to create or update a structured food ontology more efficiently, reducing manual effort and time.
Not ideal if you are working with ontologies outside the food domain or if you prefer a completely manual, human-driven ontology development process.
Stars
12
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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