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A Framework for the Classification and Description of Multidimensional Data Models

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Database and Expert Systems Applications (DEXA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

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Abstract

The words On-Line Analytical Processing bring together a set of tools, that use multidimensional modeling in the management of information to improve the decision making process. Lately, a lot of work has been devoted to modeling the multidimensional space. The aim of this paper is twofold. On one hand, it compiles and classifies some of that work, with regard to the design phase they are used in. On the other hand, it allows to compare the different terminology used by each author, by placing all the terms in a common framework.

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Author information

Authors and Affiliations

  1. Dept. de Llenguatges i Sistemes Informàtics, U. Politècnica de Catalunya (UPC), Barcelona, Spain

    Alberto Abelló & Félix Saltor

  2. Dept. de Lenguajes y Sistemas Informáticos, U. de Granada (UGR), Barcelona, Spain

    José Samos

Authors
  1. Alberto Abelló
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  2. José Samos
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  3. Félix Saltor
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Editor information

Editors and Affiliations

  1. University of Klagenfurt, IFI -IWAS Universitaetsstr. 65, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Faculty of Electrical Engineering, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic

    Jiri Lazansky

  3. School of Computer and Information Science, University of South Australia, Mawson Lakes Campus, Mawson Lakes, SA, 5095

    Gerald Quirchmayr

  4. Department of Information Systems, Technical University of Munich, Orleanstr. 34, 81667, Munich, Germany

    Pavel Vogel

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© 2001 Springer-Verlag Berlin Heidelberg

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Abelló, A., Samos, J., Saltor, F. (2001). A Framework for the Classification and Description of Multidimensional Data Models. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_65

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  • DOI: https://doi.org/10.1007/3-540-44759-8_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

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