Integration of Heterogeneous, Imprecise and Incomplete Data: An Application to the Microbiological Risk Assessment

  • Patrice Buche
  • Ollivier Haemmerle
  • Rallou Thomopoulos
Conference paper

DOI: 10.1007/978-3-540-39592-8_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2871)
Cite this paper as:
Buche P., Haemmerle O., Thomopoulos R. (2003) Integration of Heterogeneous, Imprecise and Incomplete Data: An Application to the Microbiological Risk Assessment. In: Zhong N., Raś Z.W., Tsumoto S., Suzuki E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science, vol 2871. Springer, Berlin, Heidelberg

Abstract

This paper presents an information system developed to help the assessment of the microbiological risk in food products. UQS (Unified Querying System) is composed of two distinct bases (a relational database and a conceptual graph knowledge base) which are integrated by means of a uniform querying language. The specificity of the system is that both bases include fuzzy data. Moreover, UQS allows the expression of preferences into the queries, by means of the fuzzy set theory.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Patrice Buche
    • 1
  • Ollivier Haemmerle
    • 1
    • 2
  • Rallou Thomopoulos
    • 1
  1. 1.UMR INA P-G/INRA BIAParis Cedex 05France
  2. 2.LRI (UMR CNRS 8623 – Universite Paris-Sud) / INRIA (Futurs)Orsay CedexFrance

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