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Ontology Based Data Validation and Cleaning: Restructuring operations for ontology maintenance

dc.contributor.authorBrüggemann, Stefan
dc.contributor.authorAden, Thomas
dc.contributor.editorKoschke, Rainer
dc.contributor.editorHerzog, Otthein
dc.contributor.editorRödiger, Karl-Heinz
dc.contributor.editorRonthaler, Marc
dc.date.accessioned2019-05-15T09:15:25Z
dc.date.available2019-05-15T09:15:25Z
dc.date.issued2007
dc.description.abstractData validation and cleaning are integral processes of the data quality management cycle. Domain specific knowledge is needed to detect and correct semantic errors. Ontologies can be used to represent valid and invalid attribute value combinations to detect and correct invalid data. We introduce reorganization operations for maintaining such an ontology in the data quality management cycle.en
dc.identifier.isbn978-3-88579-206-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22581
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformatik 2007 – Informatik trifft Logistik – Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-109
dc.titleOntology Based Data Validation and Cleaning: Restructuring operations for ontology maintenanceen
dc.typeText/Conference Paper
gi.citation.endPage211
gi.citation.publisherPlaceBonn
gi.citation.startPage207
gi.conference.date24.-27. September 2007
gi.conference.locationBremen
gi.conference.sessiontitleRegular Research Papers

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