Similarity of Fuzzy Ontology Generation for Semantic web
نویسندگان
چکیده
First, Similarity Of Fuzzy Ontology Generation For Semantic Web, Fuzzy Formal Concept Analysis incorporates fuzzy logic into Formal Concept Analysis (FCA) to form a fuzzy concept lattice. The fuzzy ontology is an extension of the domain ontology for solving the uncertainty problems. 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. We also discuss approximating reasoning for incremental enrichment of the ontology with new upcoming data. Finally, a fuzzy-based technique for integrating other attributes of database to the ontology is proposed. In this paper proposes a series of fuzzy ontology models that consist of fuzzy domain ontology and fuzzy linguistic variable ontologies, considering semantic relationships of concepts, including set relation, order relation and equivalence relation. Application of the fuzzy ontology to transportation knowledge modelling shows that this Similarity facilitates the knowledge share and reuse for fuzzy systems on the semantic web.
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