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Data Warehousing is the main Business
Intelligence instrument for the analysis of large amounts of
data. It permits the extraction of relevant information for
decision making processes inside organizations. Given the
great diffusion of Data Warehouses, there is an increasing
need to integrate information coming from independent
Data Warehouses or from independently developed data
marts in the same Data Warehouse. In this paper, we
provide a method for the semiautomatic discovery of
common topological properties of dimensions that can be
used to automatically map elements of different dimensions
in heterogeneous Data Warehouses. The method uses
techniques from the Data Integration research area and
combines topological properties of dimensions in a
multidimensional model.
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