Database design and querying within the fuzzy semantic model

نویسندگان

  • Rafik Bouaziz
  • Salem Chakhar
  • Vincent Mousseau
  • Sudha Ram
  • Abdelkader Telmoudi
چکیده

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 FSMbased databases. 2007 Elsevier Inc. All rights reserved.

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عنوان ژورنال:
  • Inf. Sci.

دوره 177  شماره 

صفحات  -

تاریخ انتشار 2007