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Intelligent Query Answering
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Author(s): Zbigniew W. Ras (University of North Carolina, Charlotte, USA)and Agnieszka Dardzinska (Bialystok Technical University, Poland)
Copyright: 2005
Pages: 5
Source title:
Encyclopedia of Data Warehousing and Mining
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59140-557-3.ch121
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Abstract
One way to make query answering system (QAS) intelligent is to assume a hierarchical structure of its attributes. Such systems have been investigated by Cuppens & Demolombe (1988), Gal & Minker (1988), and Gaasterland et al. (1992), and they are called cooperative. Any attribute value listed in a query, submitted to cooperative QAS, is seen as a node of the tree representing that attribute. If QAS retrieves an empty set of objects, which match query q in a target information system S, then any attribute value listed in q can be generalized and the same the number of objects that possibly can match q in S can increase. In cooperative systems, these generalizations are usually controlled by users.
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