Integration of Heterogeneous, Imprecise and Incomplete Data: An Application to the Microbiological Risk Assessment
- 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
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.
Unable to display preview. Download preview PDF.