Intelligent flexible query answering Using Fuzzy Ontologies

Motivated by the increased need for formalized representations of the field of Data Mining and the successfull results of using Formal Concept Analysis (FCA) and Ontology, we introduce in this paper our contribution in order to support flexible query in large Database using FCA and Fuzzy Ontology. We first present our new approach for automatic generation of Fuzzy Ontology of Data Mining (FODM), through the combination of conceptual clustering, fuzzy logic, and FCA. Then we define our new algorithm to support database flexible querying using the generated fuzzy ontology. We show that this approach is an optimum sight that the evaluation of the query is not done on the set of starting data which is huge but rather by using the fuzzy ontology generation.