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A Fuzzy Ontology-Based Semantic Data Integration System

Author

Listed:
  • Cristiane A. Yaguinuma

    (Department of Computer Science, Federal University of São Carlos, Rod. Washington Luís, Km 235, P.O. Box 676, 13565-905 São Carlos – SP – Brazil, Brazil)

  • Gustavo F. Afonso

    (Department of Computer Science, Federal University of São Carlos, Rod. Washington Luís, Km 235, P.O. Box 676, 13565-905 São Carlos – SP – Brazil, Brazil)

  • Vinícius Ferraz

    (Department of Computer Science, Federal University of São Carlos, Rod. Washington Luís, Km 235, P.O. Box 676, 13565-905 São Carlos – SP – Brazil, Brazil)

  • Sérgio Borges

    (Department of Computer Science, Federal University of São Carlos, Rod. Washington Luís, Km 235, P.O. Box 676, 13565-905 São Carlos – SP – Brazil, Brazil)

  • Marilde T. P. Santos

    (Department of Computer Science, Federal University of São Carlos, Rod. Washington Luís, Km 235, P.O. Box 676, 13565-905 São Carlos – SP – Brazil, Brazil)

Abstract

Data integration becomes even more necessary given the increasing availability of data from distributed and heterogeneous sources. To address such heterogeneity, crisp ontologies have been employed in order to represent the semantics of integrated data. However, it is interesting to use fuzzy logic concepts in these ontologies for a more expressive representation of vague information relevant to some domains. In this context, this paper presents DISFOQuE system for data integration based on fuzzy ontology, which provides a homogeneous view of data sources and also performs query expansions in order to retrieve more comprehensive answers for the user. We have executed a real experiment in the domain of watershed analysis, which provided a homogeneous view of the watershed data sources and more effective answers to researchers.

Suggested Citation

  • Cristiane A. Yaguinuma & Gustavo F. Afonso & Vinícius Ferraz & Sérgio Borges & Marilde T. P. Santos, 2011. "A Fuzzy Ontology-Based Semantic Data Integration System," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 285-299.
    • Handle: RePEc:wsi:jikmxx:v:10:y:2011:i:03:n:s0219649211002997
    DOI: 10.1142/S0219649211002997
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