Representation of semi-structured imprecise data for fuzzy querying

This work is part of a national project which aims at building a tool for the analysis of microbiological risks in food products. As a first step, we propose a unified querying system which simultaneously scans two complementary bases, containing microbiological information : a relational database containing structured information and a conceptual graph knowledge base containing semi-structured information. The unified querying system sends the user's query to both of them. Fuzzy queries and imprecise information are handled in both bases. To achieve this goal, we propose a way of representing fuzzy values, including numerical values, in conceptual graphs.