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An evolution-based approach for assessing ontology mappings - A case study in the life sciences

dc.contributor.authorThor, Andreas
dc.contributor.authorHartung, Michael
dc.contributor.authorGross, Anika
dc.contributor.authorKirsten, Toralf
dc.contributor.authorRahm, Erhard
dc.contributor.editorFreytag, Johann-Christoph
dc.contributor.editorRuf, Thomas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2019-02-20T10:28:11Z
dc.date.available2019-02-20T10:28:11Z
dc.date.issued2009
dc.description.abstractOntology matching has been widely studied. However, the resulting ontology mappings can be rather unstable when the participating ontologies or utilized secondary sources (e.g., instance sources, thesauri) evolve. We propose an evolution-based approach foen
dc.identifier.isbn978-3-88579-238-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20452
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-144
dc.titleAn evolution-based approach for assessing ontology mappings - A case study in the life sciencesen
dc.typeText/Conference Paper
gi.citation.endPage286
gi.citation.publisherPlaceBonn
gi.citation.startPage277
gi.conference.date2.-6. März 2009
gi.conference.locationMünster
gi.conference.sessiontitleRegular Research Papers

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