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Ontologies in cross-language information retrieval

dc.contributor.authorVolk, Martin
dc.contributor.authorVintar, Špela
dc.contributor.authorBuitelaar, Paul
dc.contributor.editorReimer, Ulrich
dc.contributor.editorAbecker, Andreas
dc.contributor.editorStaab, Steffen
dc.contributor.editorStumme, Gerd
dc.date.accessioned2019-11-14T12:21:08Z
dc.date.available2019-11-14T12:21:08Z
dc.date.issued2003
dc.description.abstractWe present an approach to using ontologies as interlingua in cross-language information retrieval in the medical domain. Our approach is based on using the Unified Medical Language System (UMLS) as the primary ontology. Documents and queries are annotated with multiple layers of linguistic information (part-of-speech tags, lemmas, phrase chunks). Based on this we identify medical terms and semantic relations between them and map them to their position in the ontology. The paper describes experiments in monolingual and cross-language document retrieval, performed on a corpus of medical abstracts. Results show that semantic information, specifically the combined use of concepts and relations, increases the precision in monolingual retrieval. In cross-language retrieval the semantic annotation outperforms machine translation of the queries, but the best results are achieved by combining a similarity thesaurus with the semantic codes.en
dc.identifier.isbn3-88579-357-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29903
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofWM 2003: Professionelles Wissesmanagement – Erfahrungen und Visionen, Beiträge der 2. Konferenz Professionelles Wissensmanagement
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-28
dc.titleOntologies in cross-language information retrievalen
dc.typeText/Conference Paper
gi.citation.endPage50
gi.citation.publisherPlaceBonn
gi.citation.startPage43
gi.conference.date2.-4. April 2003
gi.conference.locationLuzern, Schweiz
gi.conference.sessiontitleRegular Research Papers

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