Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Marko, K; Schulz, S; Hahn, U.
MorphoSaurus--design and evaluation of an interlingua-based, cross-language document retrieval engine for the medical domain.
Methods Inf Med. 2005; 44(4):537-545
Doi: 10.1055/s-0038-1634005
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- Co-Autor*innen der Med Uni Graz
- Schulz Stefan
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- Abstract:
- Objectives: We propose an interlingua-bosed indexing approach to account for the particular challenges that arise in the design and implementation of cross-language document retrieval systems for the medical domain. Methods: Documents, as well as queries, are mapped to a language-independent conceptual layer on which retrieval operations are performed. We contrast this approach with the direct translation of German queries to English ones which, subsequently, are matched against English documents. Results: We evaluate both approaches, interlingua-based and direct translation, on a large medical document collection, the OHSUMED corpus. A substantial benefit for interlingua-bosed document retrieval using German queries on English texts is found, which amounts to 93% of the (monolingual) English baseline. Conclusions: Most state-of-the-art cross-language information retrieval systems translate user queries to the language(s) of the target documents. In contradistinction to this approach, translating both documents and user queries into a language-independent concept-like representation format is more beneficial to enhance cross-language retrieval performance.
- Find related publications in this database (using NLM MeSH Indexing)
- Abstracting and Indexing as Topic -
- Database Management Systems -
- Dictionaries, Medical -
- Humans -
- Information Storage and Retrieval -
- Information Systems -
- Multilingualism -
- Natural Language Processing -
- Terminology as Topic -
- Translating -
- Unified Medical Language System -
- Vocabulary, Controlled -
- Find related publications in this database (Keywords)
- information storage and retrieval
- cross-language information retrieval
- search engine
- OHSUMED