Acquiring expert knowledge for the design of conceptual information systems

dc.date.accessioned	2009-01-28T11:12:30Z
dc.date.available	2009-01-28T11:12:30Z
dc.date.issued	1999
dc.identifier.uri	urn:nbn:de:hebis:34-2009012826050
dc.identifier.uri	http://hdl.handle.net/123456789/2009012826050
dc.format.extent	269478 bytes
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.rights	Urheberrechtlich geschützt
dc.rights.uri	https://rightsstatements.org/page/InC/1.0/
dc.subject.ddc	004
dc.title	Acquiring expert knowledge for the design of conceptual information systems	eng
dc.type	Aufsatz
dcterms.abstract	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.	eng
dcterms.accessRights	open access
dcterms.creator	Stumme, Gerd
dc.description.et	Extern	ger
dc.description.everything	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	ger
dc.subject.swd	Informationssystem	ger
dc.subject.swd	Wissenserwerb	ger