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dc.date.accessioned2009-01-28T11:40:25Z
dc.date.available2009-01-28T11:40:25Z
dc.date.issued1999
dc.identifier.uriurn:nbn:de:hebis:34-2009012826069
dc.identifier.urihttp://hdl.handle.net/123456789/2009012826069
dc.format.extent279663 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subject.ddc004
dc.titleDual retrieval in conceptual information systemseng
dc.typeAufsatz
dcterms.abstractConceptual Information Systems provide a multi-dimensional conceptually structured view on data stored in relational databases. On restricting the expressiveness of the retrieval language, they allow the visualization of sets of realted queries in conceptual hierarchies, hence supporting the search of something one does not have a precise description, but only a vague idea of. Information Retrieval is considered as the process of finding specific objects (documents etc.) out of a large set of objects which fit to some description. In some data analysis and knowledge discovery applications, the dual task is of interest: The analyst needs to determine, for a subset of objects, a description for this subset. In this paper we discuss how Conceptual Information Systems can be extended to support also the second task.eng
dcterms.accessRightsopen access
dcterms.creatorStumme, Gerd
dc.description.etExternger
dc.description.everythingAuch erschienen in: Buchmann, Alejandro P. (Hrsg.): Datenbanksysteme in Büro, Technik und Wissenschaft. Berlin u.a. : Springer, 1999. S. 328-342. ISBN 3-540-65606-5ger
dc.subject.swdInformationssystemger
dc.subject.swdInformation Retrievalger


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