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Please use this identifier to cite or link to this item: http://nbn-resolving.de/urn:nbn:de:hebis:34-2009012826069

Title: Dual retrieval in conceptual information systems
Authors: Stumme, Gerd
???metadata.dc.subject.swd???: InformationssystemInformation Retrieval
???metadata.dc.subject.ddc???: 004 - Informatik (Data processing Computer science)
Issue Date: 1999
Abstract: Conceptual 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.
URI: urn:nbn:de:hebis:34-2009012826069
???metadata.dc.description.everything???: Auch erschienen in: Buchmann, Alejandro P. (Hrsg.): Datenbanksysteme in Büro, Technik und Wissenschaft. Berlin u.a. : Springer, 1999. S. 328-342. ISBN 3-540-65606-5
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