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Uncertainty in Data Integration Systems: Automatic Generation of Probabilistic Relationships

  • Sonia Bergamaschi
  • Laura Po
  • Serena Sorrentino
  • Alberto Corni
Conference paper

Abstract

This paper proposes a method for the automatic discovery of probabilistic relationships in the environment of data integration systems. Dynamic data integration systems extend the architecture of current data integration systems by modeling uncertainty at their core. Our method is based on probabilistic word sense disambiguation (PWSD), which allows to automatically lexically annotate (i.e. to perform annotation w.r.t. a thesaurus/lexical resource) the schemata of a given set of data sources to be integrated. From the annotated schemata and the relathionships defined in the thesaurus, we derived the probabilistic lexical relationships among schema elements. Lexical relationships are collected in the Probabilistic Common Thesaurus (PCT), as well as structural relationships.

Keywords

Description Logic Automatic Discovery Probabilistic Relationship Lexical Resource Data Integration 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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Notes

Acknowledgments

The work reported in this paper has been funded by the MUR FIRB Network Peer for Business project (http://www.dbgroup.unimo.it/nep4b) and by the IST FP6 STREP project 2006 STASIS (http://www.dbgroup.unimo.it/stasis).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sonia Bergamaschi
    • 1
  • Laura Po
    • 1
  • Serena Sorrentino
    • 1
  • Alberto Corni
    • 1
  1. 1.Information Engineering DepartmentUniversity of Modena and Reggio EmiliaModenaItaly

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