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CobWeb Multidimensional Model: Visualizing OLAP Query Results Using Tag-Cloud Operators

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

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Abstract

OLAP (On-Line Analytical Processing) systems provide decision makers with multidimensional analyses of large databases by generating an aggregated vision of data. Nowadays, these systems face growing non-numeric data. In this context, we propose in this paper a new generic multidimensional model called CobWeb dedicated to the OLAP of XML documents; it is based on the concept of facet. The CobWeb model aims to ease the expression of queries; also it offers an appropriate vision of the document warehouse. In this context and for manipulation purposes, we propose new visualization operators for OLAP query results by using the concept of Tag clouds as a means to help decision-makers to see the content in an efficient manner and then to focus on the knowledge in results.

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Author information

Authors and Affiliations

  1. MIR@CL Laboratory, University of Sfax, Sfax, Tunisia

    Omar Khrouf & Kaïs Khrouf

  2. FCIT, IS Department, University of Jeddah, Jeddah, Saudi Arabia

    Jamel Feki

Authors
  1. Omar Khrouf
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  2. Kaïs Khrouf
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  3. Jamel Feki
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Corresponding author

Correspondence to Omar Khrouf .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Khrouf, O., Khrouf, K., Feki, J. (2017). CobWeb Multidimensional Model: Visualizing OLAP Query Results Using Tag-Cloud Operators. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_98

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_98

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

  • eBook Packages: EngineeringEngineering (R0)

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