Selected Publication:
Honeck, M; Hahn, U; Klar, R; Schulz, S.
Text retrieval based on medical subwords.
Stud Health Technol Inform. 2002; 90(2):241-245
PubMed
- Co-authors Med Uni Graz
-
Schulz Stefan
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Abstract:
- In biomedical documents, there is ample evidence for complex morphological structures in specialized terms. While inflection is relatively easy to deal with, productive morphological processes such as derivation and single-word composition constitute a major challenge. Considering the problem from an information retrieval perspective, we split morphologically complex words into biomedically significant, morpheme-like subwords and match subwords the query terms and document terms are composed of. This way, morphologically motivated word form alterations can be eliminated from the retrieval procedure. Based on a series of retrieval experiments, we have gathered evidence that subword-based indexing and retrieval for the German biomedical sublanguage, at least--outperforms conventional string matching approaches.
- Find related publications in this database (using NLM MeSH Indexing)
-
-
-
Information Storage and Retrieval -
-
Medical Informatics -
-
Terminology as Topic -