Evidential Integration of Semantically Heterogeneous Aggregates in Distributed Databases with Imprecision

  • Xin Hong
  • Sally McClean
  • Bryan Scotney
  • Philip Morrow
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Abstract

The mass function of evidential theory provides a means of representing ignorance in lack of information. In this paper we propose mass function models of aggregate views held as summary tables in a distributed database. This model particularly suits statistical databases in which the data usually presents imprecision, including missing values and overlapped categories of aggregate classification. A new aggregation combination operator is developed to accomplish the integration of semantically heterogeneous aggregate views in such distributed databases.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xin Hong
    • 1
  • Sally McClean
    • 1
  • Bryan Scotney
    • 1
  • Philip Morrow
    • 1
  1. 1.School of Computing and Information EngineeringUniversity of UlsterColeraine, Northern IrelandUK

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