HamedBabaei/LLMs4OL
LLMs4OL:โ Large Language Models for Ontology Learning
This project helps domain experts accelerate the creation of ontologies by automating several key steps. It takes natural language text from various knowledge domains as input and outputs structured conceptual types, their hierarchical relationships, and non-taxonomic connections. Researchers and knowledge engineers in fields like biomedicine, geography, and web content would use this to build comprehensive knowledge bases more efficiently.
150 stars. No commits in the last 6 months.
Use this if you need to automatically extract and structure knowledge from text to build or expand an ontology, especially for discovering terms, types, and their relationships.
Not ideal if your primary goal is to use existing ontologies for reasoning or querying rather than their automated construction.
Stars
150
Forks
18
Language
Python
License
MIT
Category
Last pushed
Sep 27, 2024
Commits (30d)
0
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