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Knowledge and Metadata Integration for Warehousing Complex Data

dc.contributor.authorRalaivao, Jean-Christian
dc.contributor.authorDarmont, Jérôme
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorKaragiannis, Dimitris
dc.date.accessioned2019-05-15T09:28:51Z
dc.date.available2019-05-15T09:28:51Z
dc.date.issued2007
dc.description.abstractWith the ever-growing availability of so-called complex data, especially on the Web, decision-support systems such as data warehouses must store and process data that are not only numerical or symbolic. Warehousing and analyzing such data requires the joint exploitation of metadata and domain-related knowledge, which must thereby be integrated. In this paper, we survey the types of knowledge and meta-data that are needed for managing complex data, discuss the issue of knowledge and metadata integration, and propose a CWM-compliant integration solution that we incorporate into an XML complex data warehousing framework we previously designed.en
dc.identifier.isbn978-3-88579-2017
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22673
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformation systems technology and its applications – 6th international conference – ISTA 2007
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-107
dc.subjectXML data warehousing
dc.subjectcomplex data
dc.subjectmetadata
dc.subjectknowledge
dc.subjectmetadata and knowledge integration
dc.titleKnowledge and Metadata Integration for Warehousing Complex Dataen
dc.typeText/Conference Paper
gi.citation.endPage175
gi.citation.publisherPlaceBonn
gi.citation.startPage164
gi.conference.dateMay 23-25, 2007
gi.conference.locationKharkiv, Ukraine
gi.conference.sessiontitleRegular Research Papers

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