Abstract

. In this paper, we try to outline the goodness of using an O-O model on designing multidimensional Data Marts. We argue that multidimensional modeling is lacking in semantics, which can be obtained by using the O-O paradigm. Some benefits that could be obtained by doing this are classified in six O-O-Dimensions (i.e. Classification/Instantiation, Generalization/Specialization, Aggregation/Decomposition, Caller/Called, Derivability, and Dynamicity), and exemplified with specific cases. Key Words: Object-Oriented Data Model, Semantics, Multidimensionality, Data Marts 1 Introduction Data warehousing is a relatively new research area. W. Inmon is considered the father of the "Data Warehouse" (DW), whose definition can be read in [Inm96]: "A data warehouse is a subject oriented, integrated, non-volatile, and time variant collection of data in support of management's decisions". Note that the definition does not refer to the size of the warehouse. However, if it is integrated and...

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