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dc.contributor.authorMittag, Kristin
dc.contributor.authorHinneburg, Alexander
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorFranczyk, Bogdan
dc.date.accessioned2019-01-11T10:29:13Z
dc.date.available2019-01-11T10:29:13Z
dc.date.issued2010
dc.identifier.isbn978-3-88579-270-3
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/19318
dc.description.abstractInformation needs like searching scientific literature that involve high recall rates are difficult to satisfy with ad hoc keyword search. We propose to state queries implicitly by the specification of a set of query documents. The result of such a query is a set of answer documents that are ranked within the answer set. We describe efficient techniques to process such queries. Preliminary experiments using data from the TREC Genomics track 2005 are reported.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-176
dc.titleRanked Set Search in Medline Documentsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages758-763
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationLeipzig
mci.conference.date27.09.-01.10.2010


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