Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI).

ABSTRACT:

Background

Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction and maintenance demand substantial resources and necessitate substantial collaboration between domain experts, curators, and ontology experts. We present Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI), an ontology generation method employing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). DRAGON-AI can generate textual and logical ontology components, drawing from existing knowledge in multiple ontologies and unstructured text sources.

Results

We assessed performance of DRAGON-AI on de nov

SUBMITTER: Toro S 

PROVIDER: S-EPMC11484368 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature