A Rule-Based Data Warehouse Model

  • Cécile Favre
  • Fadila Bentayeb
  • Omar Boussaid
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4042)


A data warehouse is built by collecting data from external sources. Changes that occur have to be reflected in the data warehouse thanks to schema updating or versioning. However a data warehouse has also to evolve according to users’ analysis needs. This evolution is rather driven by knowledge than by data. To take into account these changes, we propose a new Rule-based Data Warehouse (R-DW) model in which rules integrate users’ knowledge to dynamically create dimension hierarchies. The R-DW model is composed of a fixed part which is a fact table related to its first level dimensions, and an evolving part which contains the rules. Our model allows analysis context evolution and increases interactions between users and the decision support system.


Data Warehouse Level Dimension Granularity Level Fact Table Student Agency 
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  1. 1.
    Blaschka, M., Sapia, C., Höfling, G.: On Schema Evolution in Multidimensional Databases. In: Mohania, M., Tjoa, A.M. (eds.) DaWaK 1999. LNCS, vol. 1676, pp. 153–164. Springer, Heidelberg (1999)Google Scholar
  2. 2.
    Eder, J., Koncilia, C.: Changes of dimension data in temporal data warehouses. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2001. LNCS, vol. 2114, pp. 284–293. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  3. 3.
    Kim, H.J., Lee, T.H., Lee, S.G., Chun, J.: Automated Data Warehousing for Rule-Based CRM Systems. In: 14th Australasian Database Conference on Database Technologies, pp. 67–73 (2003)Google Scholar
  4. 4.
    Peralta, V., Illarze, A., Ruggia, R.: On the Applicability of Rules to Automate Data Warehouse Logical Design. In: CAiSE Workshops (2003)Google Scholar
  5. 5.
    Carpani, F., Ruggia, R.: An Integrity Constraints Language for a Conceptual Multidimensional Data Model. In: SEKE 2001: XIII International Conference on Software Engineering & Knowledge Engineering (2001)Google Scholar
  6. 6.
    Espil, M.M., Vaisman, A.A.: Efficient Intensional Redefinition of Aggregation Hierarchies in Multidimensional Databases. In: DOLAP 2001: 4th ACM International Workshop on Data Warehousing and OLAP (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cécile Favre
    • 1
  • Fadila Bentayeb
    • 1
  • Omar Boussaid
    • 1
  1. 1.ERIC LaboratoryUniversity of Lyon 2BronFrance

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