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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


Authors Med Uni Graz:
Schulz Stefan

Dimensions Citations:

Plum Analytics:
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)
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