Extending the TOP Framework with an Ontology-Based Text Search Component
Our proof-of-concept shows a query language agnostic framework to model search queries for unstructured and structured data.
Authors
- Christoph Beger (ORCID: https://orcid.org/0000-0002-1166-0368)
- Konrad Höffner (ORCID: https://orcid.org/0000-0001-7358-3217)
- Alexandr Uciteli (ORCID: https://orcid.org/0000-0001-9558-5352)
- Ralph Schäfermeier (ORCID: https://orcid.org/0000-0002-4349-6726)
- Franz Matthies (ORCID: https://orcid.org/0000-0001-7196-506X)
Institutions
- Leipzig University (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3233/shti240854
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00