Abstract
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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Favre, C., Bentayeb, F., Boussaid, O. (2006). A Rule-Based Data Warehouse Model. In: Bell, D.A., Hong, J. (eds) Flexible and Efficient Information Handling. BNCOD 2006. Lecture Notes in Computer Science, vol 4042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788911_29
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DOI: https://doi.org/10.1007/11788911_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35969-2
Online ISBN: 978-3-540-35971-5
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