Paper Info
Title
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 combination of Web OLAP and data warehouse resources by integrating schema information and addressing semantic heterogeneity. This aims at providing, managing and exploiting a set of integrated data warehouses for knowledge management and decision support.
Year
DOI
Venue
2001
10.1109/WISE.2001.996720
Web Information Systems Engineering, 2001. Proceedings of the Second International Conference
Keywords
Field
DocType
Internet,data mining,data warehouses,decision support systems,distributed databases,hypermedia markup languages,information resources,Internet,XML Topic Maps,application integration,data warehouse,decentralized warehouse systems,decision support,federated warehouse,information acquisition,information requirements,knowledge repositories,multidimensional OLAP model,online analytical processing,schema information,semantic heterogeneity
Data warehouse,Data mining,Information retrieval,Computer science,Decision support system,Dimensional modeling,Distributed database,Online analytical processing,Semantic heterogeneity,Database,The Internet,Topic Maps
Conference
Volume
ISBN
Citations 
2
0-7695-1393-X
9
PageRank 
References 
Authors
0.56
8
4
Name
Order
Citations
PageRank
Robert M. Bruckner114412.56
Tok Wang Ling22449624.70
Oscar Mangisengi3564.65
A Min Tjoa42445465.02