Database design and querying within the fuzzy semantic model

Rafik Bouaziz, Salem Chakhar, Vincent Mousseau, Sudha Ram, Abdelkader Telmoudi

Research output: Contribution to journalArticle

22 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)4598-4620
Number of pages23
JournalInformation Sciences
Volume177
Issue number21
DOIs
StatePublished - Nov 1 2007

Keywords

  • Database design
  • Flexible querying
  • Fuzzy database
  • Semantic modeling

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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    Bouaziz, R., Chakhar, S., Mousseau, V., Ram, S., & Telmoudi, A. (2007). Database design and querying within the fuzzy semantic model. Information Sciences, 177(21), 4598-4620. https://doi.org/10.1016/j.ins.2007.05.013