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dc.contributor.authorDelfs, Ralph
dc.contributor.authorDoms, Andreas
dc.contributor.authorKozlenkov, Alexander
dc.contributor.authorSchroeder, Michael
dc.contributor.editorGiegerich, Robert
dc.contributor.editorStoye, Jens
dc.date.accessioned2019-10-11T11:32:38Z
dc.date.available2019-10-11T11:32:38Z
dc.date.issued2004
dc.identifier.isbn3-88579-382-2
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/28663
dc.description.abstractThe biomedical literature grows at a tremendous rate, so that finding the relevant literature is becoming more and more difficult. To address this problem we introduce ontology-based literature search, which structures search results thorugh the categories of an ontology. We develop and implement GoP- ubMed, which submits keywords to PubMed, extracts GeneOntology-terms from the retrieved abstracts, and presents the relevant sub-ontology for browsing. For GoPubMed we develop a novel term extraction algorithm and evaluate its performance. GoPubMed is available at www.gopubmed.orgen
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2004, GCB 2004
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-53
dc.subjectText mining
dc.subjectterm extraction
dc.subjectontologies
dc.titleGoPubMed: ontology-based literature search applied to gene ontology and pubmeden
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages169-178
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationBielefeld
mci.conference.dateOctober 4-6, 2004


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