Bipolar fuzzy querying of temporal databases

Authors:
Christophe Billiet;Jose Enrique Pons;Tom Matthé;Guy De Tré;Olga Pons Capote
Affiliations:
Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium;Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium;Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
Venue:
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Year:
2011

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Abstract

Temporal databases handle temporal aspects of the objects they describe with an eye to maintaining consistency regarding these temporal aspects. Several techniques have allowed these temporal aspects, along with the regular aspects of the objects, to be defined and queried in an imprecise way. In this paper, a new technique is proposed, which allows using both positive and negative -possibly imprecise- information in querying relational temporal databases. The technique is discussed and the issues which arise are dealt with in a consistent way.