Aufsatz
Acquiring expert knowledge for the design of conceptual information systems
Zusammenfassung
Conceptual Information Systems unfold the conceptual structure of data stored in relational databases. In the design phase of the system, conceptual hierarchies have to be created which describe different aspects of the data. In this paper, we describe two principal ways of designing such conceptual hierarchies, data driven design and theory driven design and discuss advantages and drawbacks. The central part of the paper shows how Attribute Exploration, a knowledge acquisition tool developped by B. Ganter can be applied for narrowing the gap between both approaches.
Zitieren
@article{urn:nbn:de:hebis:34-2009012826050,
author={Stumme, Gerd},
title={Acquiring expert knowledge for the design of conceptual information systems},
year={1999}
}
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2009-01-28T11:12:30Z 2009-01-28T11:12:30Z 1999 urn:nbn:de:hebis:34-2009012826050 http://hdl.handle.net/123456789/2009012826050 269478 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 Acquiring expert knowledge for the design of conceptual information systems Aufsatz Conceptual Information Systems unfold the conceptual structure of data stored in relational databases. In the design phase of the system, conceptual hierarchies have to be created which describe different aspects of the data. In this paper, we describe two principal ways of designing such conceptual hierarchies, data driven design and theory driven design and discuss advantages and drawbacks. The central part of the paper shows how Attribute Exploration, a knowledge acquisition tool developped by B. Ganter can be applied for narrowing the gap between both approaches. open access Stumme, Gerd Extern Auch erschienen in: Fensel, Dieter u.a. (Hrsg.): Knowledge acquisition, modeling and management. (Lecture notes in computer science ; 1621). Berlin u.a. : Springer, 1999. S. 275-290. ISBN 3-540-66044-5 Informationssystem Wissenserwerb
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