FOGA : A Fuzzy Ontology Generation Framework for Scholarly Semantic Web

This paper proposes the FOGA (Fuzzy Ontology Generation frAmework) for automatic generation of fuzzy ontology on uncertainty information. The FOGA framework comprises the following components: Fuzzy Formal Concept Analysis, Fuzzy Conceptual Clustering and Fuzzy Ontology Generation. First, Fuzzy Formal Concept Analysis incorporates fuzzy logic into Formal Concept Analysis (FCA) to form a fuzzy concept lattice. Fuzzy Conceptual Clustering then constructs the concept hierarchy from the fuzzy concept lattice. Finally, Fuzzy Ontology Generation generates the fuzzy ontology from the concept hierarchy. In this paper, we will also discuss the application of the FOGA framework to generate a scholarly ontology for the Scholarly Semantic Web from a citation database. The performance of the proposed FOGA framework is given based on the scholarly ontology generated.