MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems

  • Thanh Binh Nguyen
  • A Min Tjoa
  • Oscar Mangisengi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2737)


Providing access and search among multiple, heterogeneous, distributed and autonomous data warehouses has become one of the main issues in the current research. In this paper, we propose to integrate data warehouse schema information by using metadata represented in XTM (XML Topic Maps) to bridge possible semantic heterogeneity. A detailed description of an architecture that enables the efficient processing of user queries involving data from heterogeneous is presented. As a result, the interoperability is accomplished by a schema integration approach based on XTM. Furthermore, important implementation aspects of the MetaCube-XTM prototype, which makes use of the Meta Data Interchange Specification (MDIS), and the Open Information Model, complete the presentation of our approach.


Resource Description Framework Data Warehouse Semantic Heterogeneity Dimension Schema Data Warehouse System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Thanh Binh Nguyen
    • 1
  • A Min Tjoa
    • 1
  • Oscar Mangisengi
    • 2
  1. 1.Institute of Software Technology (E188)Vienna University of TechnologyViennaAustria
  2. 2.Software Competence Center HagenbergHagenbergAustria

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