Datum
1999Metadata
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Aufsatz
Dual retrieval in conceptual information systems
Zusammenfassung
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.
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.
Zitieren
@article{urn:nbn:de:hebis:34-2009012826069,
author={Stumme, Gerd},
title={Dual retrieval in conceptual information systems},
year={1999}
}
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<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 2009-01-28T11:40:25Z 2009-01-28T11:40:25Z 1999 urn:nbn:de:hebis:34-2009012826069 http://hdl.handle.net/123456789/2009012826069 279663 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 Dual retrieval in conceptual information systems Aufsatz 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. open access Stumme, Gerd Extern 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 Informationssystem Information Retrieval </resource>
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