Abstract
Information integration plays a substantial role for data warehouses with their needs for highly dynamical adaptivity. For data and knowledge integration an OLAP-based method is discussed with special emphasis on summary level integration. The basic OLAP-model is enlarged by a so called composite structure for documentation of the concepts behind the data according to the needs of statistical information processing. The model supports also bookkeeping of the evolution of the data model. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Grossmann, W., & Moschner, M. (2007). Knowledge integration from multidimensional data sources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4739 LNCS, pp. 345–351). Springer Verlag. https://doi.org/10.1007/978-3-540-75867-9_44
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