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Semrep: A repository for semantic mapping

dc.contributor.authorArnold, Patrick
dc.contributor.authorRahm, Erhard
dc.contributor.editorSeidl, Thomas
dc.contributor.editorRitter, Norbert
dc.contributor.editorSchöning, Harald
dc.contributor.editorSattler, Kai-Uwe
dc.contributor.editorHärder, Theo
dc.contributor.editorFriedrich, Steffen
dc.contributor.editorWingerath, Wolfram
dc.date.accessioned2017-06-30T11:40:44Z
dc.date.available2017-06-30T11:40:44Z
dc.date.issued2015
dc.description.abstractIn schema and ontology matching, background knowledge such as dictionaries and thesauri can considerably improve the mapping quality. Such knowledge resources are especially valuable to determine the semantic relation type (e.g., equal, is-a or part-of) that holds between related concepts. Previous match tools mostly use WordNet as their primary resource for background knowledge, although WordNet provides only a limited coverage and currentness. We present the design and use of a new comprehensive repository called SemRep that combines concepts and semantic relationships from different resources. It integrates both manually developed resources (including WordNet) and semi-automatically extracted relations from Wikipedia. To determine the semantic relationship between two concepts of interest, SemRep also considers indirect relationships of possibly different types. An initial evaluation shows the general effectiveness and efficiency of using SemRep for ontology matching.en
dc.identifier.isbn978-3-88579-635-0
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2015)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-241
dc.titleSemrep: A repository for semantic mappingen
dc.typeText/Conference Paper
gi.citation.endPage194
gi.citation.publisherPlaceBonn
gi.citation.startPage177
gi.conference.date2.-3. März 2015
gi.conference.locationHamburg

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