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Context-Dependent Fuzzy Queries in SQLf

  • Claudia Jiménez
  • Hernán Álvarez
  • Leonid Tineo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7566)

Abstract

Fuzzy set theory has been used for extending the database language capabilities in order to admit vague queries. SQLf language is one of the most recognized efforts regarding this tendency, but it has limitations to interpret context-dependent vague terms. These terms are used as filtering criteria to retrieve database objects. This paper presents an improvement of SQLf language that adding inductive capabilities to the querying engine. This allows the discovering of the semantics of vague terms, in an autonomous and dynamic way. In the discovering of the meaning of vague terms, looking for more flexibility, our proposal considers different granularity levels in the fuzzy partitions required for the object categorization.

Keywords

Adaptive Fuzzy Systems Flexible Querying Fuzzy Database Technology Fuzzy Partition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Claudia Jiménez
    • 1
  • Hernán Álvarez
    • 2
  • Leonid Tineo
    • 3
    • 4
  1. 1.Department of Computer ScienceNational University of ColombiaMedellínColombia
  2. 2.Department of Processes and EnergyNational University of ColombiaMedellínColombia
  3. 3.Departamento de ComputaciónUniversidad Simón BolívarCaracasVenezuela
  4. 4.Centro de Análisis, Modelado y Tratamiento de Datos, CAMYTD, Facultad de Ciencias y TecnologíaUniversidad de CaraboboVenezuela

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