A Framework for a Multidimensional OLAP Model using Topic Maps
Abstract:
The goal of a data warehouse is to integrate applications at the data level. Data warehouse architectures are developing in response to our increasing data and information requirements. The traditional notion of data warehouses is evolving into a federated warehouse augmented by a set of processes and services to support integrated and consistent access to heterogeneous, decentralized warehouse systems.
The evolution of data warehouses into knowledge repositories requires an architecture supporting the information acquisition from heterogeneous sources. In this paper we propose a framework using XML Topic Maps (XTM) as a foundation for the integration of Web OLAP and data warehouse resources. This aims at providing, managing and exploiting a set of integrated data warehouses for knowledge management and decision
support.
Authors:
Robert M. Bruckner
Institute of Software Technology, Vienna University of Technology, Austria.
Tok Wang Ling
School of Computing, National University of Singapore, Singapore.
Oscar Mangisengi
School of Computing, National University of Singapore, Singapore.
A M. Tjoa
Institute of Software Technology, Vienna University of Technology, Austria.
Publishing Information:
In Proceedings of 2nd International Conference on Web
Information Systems Engineering (WISE2001), Vol.2, pp. 109-118, IEEE Computer Society Press.