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Instance-based matching of hierarchical ontologies

dc.contributor.authorThor, Andreas
dc.contributor.authorKirsten, Toralf
dc.contributor.authorRahm, Erhard
dc.contributor.editorKemper, Alfons
dc.contributor.editorSchöning, Harald
dc.contributor.editorRose, Thomas
dc.contributor.editorJarke, Matthias
dc.contributor.editorSeidl, Thomas
dc.contributor.editorQuix, Christoph
dc.contributor.editorBrochhaus, Christoph
dc.date.accessioned2020-02-11T13:22:09Z
dc.date.available2020-02-11T13:22:09Z
dc.date.issued2007
dc.description.abstractWe study an instance-based approach for matching hierarchical ontolo- gies, such as product catalogs. The motivation for utilizing instances is that meta-data-based match approaches often suffer from semantic heterogeneity, e.g. ambiguous concept names, different concept granularities or incomparable categorizations. Our instance-based match approach matches categories based on the instances (e.g. products) assigned to them. This way we partly translate the ontology match problem into an instance match problem which is often easier to solve, especially when instances carry globally unique object ids. Since concepts of different ontologies rarely match 1:1 we propose to determine correspondences between sets of concepts. We experimentally evaluate the match approaches for real product catalogs.en
dc.identifier.isbn978-3-88579-197-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/31814
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web (BTW 2007) – 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-103
dc.titleInstance-based matching of hierarchical ontologiesen
dc.typeText/Conference Paper
gi.citation.endPage448
gi.citation.publisherPlaceBonn
gi.citation.startPage436
gi.conference.date07.-09.03.2007
gi.conference.locationAachen
gi.conference.sessiontitleRegular Research Papers

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