Text-based embeddings of ontology terms
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
- Charles Tapley Hoyt (ORCID: https://orcid.org/0000-0003-4423-4370)
Publication Details
- Published
- 2025-08-04
- DOI
- https://doi.org/10.59350/fb2rw-f7w29
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00