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OTM Confederated International Conferences "On the Move to Meaningful Internet Systems"

OTM 2012: On the Move to Meaningful Internet Systems: OTM 2012 pp 763–779Cite as

Context-Dependent Fuzzy Queries in SQLf

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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Author information

Authors and Affiliations

  1. Department of Computer Science, National University of Colombia, Medellín, Colombia

    Claudia Jiménez

  2. Department of Processes and Energy, National University of Colombia, Medellín, Colombia

    Hernán Álvarez

  3. Departamento de Computación, Universidad Simón Bolívar, Caracas, Venezuela

    Leonid Tineo

  4. Centro de Análisis, Modelado y Tratamiento de Datos, CAMYTD, Facultad de Ciencias y Tecnología, Universidad de Carabobo, Venezuela

    Leonid Tineo

Authors
  1. Claudia Jiménez
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  2. Hernán Álvarez
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  3. Leonid Tineo
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Semantic Technology and Application Research Laboratory (STARLab), Vrije Universiteit Brussel, Building G-10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. Research Centre for Automatic Control, School of Engineering in Information Technology, Campus scientifique, University of Lorraine, CNRS, BP 70239, 54506, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. La Trobe University, Melbourne, VIC, Australia

    Tharam Dillon

  4. Faculty of Computer Science, University of Vienna, 1010, Vienna, Austria

    Stefanie Rinderle-Ma

  5. Institute of Databases and Information Systems, Ulm University, Germany

    Peter Dadam

  6. School of Information Technology and Electrical Engineering, University of Queensland, QLD 4072, Brisbane, Australia

    Xiaofang Zhou

  7. HP Labs, Bristol, UK

    Siani Pearson

  8. Johannes Kepler University, Linz, Austria

    Alois Ferscha

  9. Università di Modena e Reggio Emilia, Modena, Italy

    Sonia Bergamaschi

  10. ADVIS Lab, Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

    Isabel F. Cruz

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© 2012 Springer-Verlag Berlin Heidelberg

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Jiménez, C., Álvarez, H., Tineo, L. (2012). Context-Dependent Fuzzy Queries in SQLf. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2012. OTM 2012. Lecture Notes in Computer Science, vol 7566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33615-7_21

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  • DOI: https://doi.org/10.1007/978-3-642-33615-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33614-0

  • Online ISBN: 978-3-642-33615-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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