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Integration of heterogeneous, imprecise, and incomplete data: An application to the microbiological risk assessment

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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https://hal.inrae.fr/hal-03080021
Contributor : Patrice Buche <>
Submitted on : Thursday, December 17, 2020 - 2:52:31 PM
Last modification on : Friday, March 26, 2021 - 8:54:01 AM
Long-term archiving on: : Thursday, March 18, 2021 - 7:51:14 PM

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Patrice Buche, Ollivier Haemmerlé, Rallou Thomopoulos. Integration of heterogeneous, imprecise, and incomplete data: An application to the microbiological risk assessment. 14th International Symposium on Methodologies for Intelligent Systems, 2003, Maebashi, Japan. pp.98-107. ⟨hal-03080021⟩

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