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Preference-Based Uncertain Data Integration

  • Matteo Magnani
  • Danilo Montesi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5268)

Abstract

In this paper we present a novel uncertainty-enabled approach to data integration. Uncertainty is a natural by-product of many automatic data integration processes. In our approach we keep it up to the integrated database, and use it to improve query answering. Our method is based on the concept of preference: we show how preferences can be interpreted and manipulated to produce a global uncertain data source, and discuss the complexity of ranking query results on the integrated database.

Keywords

Data Integration Uncertain Data Positive Preference Weak Preference Medium Preference 
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 2008

Authors and Affiliations

  • Matteo Magnani
    • 1
  • Danilo Montesi
    • 1
  1. 1.University of BolognaItaly

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