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Uncertainty in Data Integration Systems: Automatic Generation of Probabilistic Relationships

In: Management of the Interconnected World

Author

Listed:
  • Sonia Bergamaschi

    (University of Modena and Reggio Emilia)

  • Laura Po

    (University of Modena and Reggio Emilia)

  • Serena Sorrentino

    (University of Modena and Reggio Emilia)

  • Alberto Corni

    (University of Modena and Reggio Emilia)

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.

Suggested Citation

  • Sonia Bergamaschi & Laura Po & Serena Sorrentino & Alberto Corni, 2010. "Uncertainty in Data Integration Systems: Automatic Generation of Probabilistic Relationships," Springer Books, in: Alessandro D'Atri & Marco De Marco & Alessio Maria Braccini & Francesca Cabiddu (ed.), Management of the Interconnected World, pages 221-228, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2404-9_26
    DOI: 10.1007/978-3-7908-2404-9_26
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