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ABSTRACT
A specific query establishes a rigid qualification and is concerned only with data that match it precisely. A vague query establishes a target qualification and is concerned also with data that are close to this target. Most conventional database systems cannot handle vague queries directly, forcing their users to retry specific queries repeatedly with minor modifications until they match data that are satisfactory. This article describes a system called VAGUE that can handle vague queries directly. The principal concept behind VAGUE is its extension to the relational data model with data metrics, which are definitions of distances between values of the same domain. A problem with implementing data distances is that different users may have different interpretations for the notion of distance. VAGUE incorporates several features that enable it to adapt itself to the individual views and priorities of its users.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Carina F. Dorneles , Carlos A. Heuser , Viviane Moreira Orengo , Altigran S. da Silva , Edleno S. de Moura, A strategy for allowing meaningful and comparable scores in approximate matching, Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, November 06-10, 2007, Lisbon, Portugal
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REVIEW
"Alan Raymond Hevner : Reviewer"
The VAGUE system, described in this paper, is designed to support imprecise
(vague) queries on a relational database system. The objective is to
be able to answer queries such as “List all inexpensive French
restaurants that are located do
more...
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