A New Approach for Flexible Queries Using Fuzzy Ontologies
作者： Amira Aloui , Amel Grissa
DOI: 10.1007/978-3-319-11017-2_13
关键词:
摘要: Motivated by the demand for formalized representation of outcomes data mining investigations and successful results using Formal Concept Analysis (FCA) Ontology, this chapter addresses task constructing an ontology in order to support flexible query large Database FCA Fuzzy Ontology. A new approach automatic generation Ontology Data Mining (FODM), through combination conceptual clustering, fuzzy logic will be presented. Then, a algorithm database querying generated defined. The starts with organization homogeneous clusters having common properties which allows deduce data’s semantic. it models these extension FCA. This lattice used build core ontology. represented, then, as set rules efficient answers queries. We show that is optimum because evaluation not done on starting huge but rather
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