Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations?

Understand

Ontologies play a crucial role in organizing and representing knowledge.

• However, even current ontologies do not encompass all relevant concepts and relationships.
• Here, we explore the potential of large language models (LLM) to expand an existing ontology in a semi-automated fashion.
• We demonstrate our approach on the biomedical ontology SNOMED-CT utilizing semantic relation types from the widely used UMLS semantic network.