ScienceDirect - Information Sciences : Database design and querying within the fuzzy semantic model

Information Sciences
Volume 177, Issue 21, 1 November 2007, Pages 4598-4620

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doi:10.1016/j.ins.2007.05.013

Database design and querying within the fuzzy semantic model

Rafik Bouaziz^a^,¹^,, Salem Chakhar^b^,^,, Vincent Mousseau^b^,²^,, Sudha Ram^c^,³^, and Abdelkader Telmoudi^d^,⁴^,

^aDepartment of Computer Science, Faculty of Economic Sciences and Management, Route de l’Aérodrome, BP 1088, 3018 Sfax, Tunisia ^bLAMSADE, University of Paris Dauphine, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, Paris, France ^cDepartment of MIS, 430J McClelland Hall, Eller College of Management, University of Arizona, Tucson, AZ 85721, USA ^dDepartment of Industrial Engineering, National School of Engineering of Tunis, B.P. 37 Le Belvédère 1002 Tunis, Tunisia

Received 20 January 2005;

revised 19 April 2007;

accepted 6 May 2007.

Available online 16 May 2007.

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Abstract

Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to define the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.

Keywords: Database design; Fuzzy database; Semantic modeling; Flexible querying