Text-based embeddings of ontology terms

Abstract

The Ontology Lookup Service (OLS) is now indexing dense embeddings for ontology terms constructed from term labels, synonyms, and descriptions using LLMs. I maintain a Python client library for the OLS (ols-client) and was recently asked to implement a wrapper to the OLS's API endpoint that exposes these embeddings.

Authors 1

1. Charles Tapley Hoyt corresponding Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University