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An Intelligent Flexible Querying Approach for Temporal Databases

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

Time is a crucial dimension in many application domains. This paper proposes an intelligent approach to querying temporal databases using fuzzy temporal criteria. Relying on fuzzy temporal Allen relations, a particular class of criteria are studied. First, a query language that supports flexible temporal query is discussed. Then, the architecture and the interface of the system developed are explicitly described. To evaluate intelligently temporal queries, our system is endowed with some reasoning capabilities.

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Author information

Authors and Affiliations

  1. ISGT, University of Tunis, 92, Boulevard 9 Avril 1938, 1007, Tunis, Tunisia

    Aymen Gammoudi

  2. LIAS/ENSMA, 1 Avenue Clement Ader, 86960, Futuroscope Cedex, France

    Aymen Gammoudi & Allel Hadjali

  3. IHEC-Carthage Presidence, IHECT, University of Carthage, 2016, Tunis, Tunisia

    Boutheina Ben Yaghlane

Authors
  1. Aymen Gammoudi
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  2. Allel Hadjali
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  3. Boutheina Ben Yaghlane
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Corresponding author

Correspondence to Aymen Gammoudi .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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© 2015 Springer International Publishing Switzerland

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Gammoudi, A., Hadjali, A., Ben Yaghlane, B. (2015). An Intelligent Flexible Querying Approach for Temporal Databases. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_46

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_46

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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