Papers by Author: Hong Sheng Xu

Abstract: As the foundation of the semantic web, ontology is a formal, explicit specification of a shared conceptual model. It becomes an important problem on ontology application to merg and present ontology. However, there are some defects between several kinds of existing ontology application methods in many aspects. The paper offers a methodology of ontology merging for knowledge sharing and reusing based on fuzzy concept concept lattice union in order to makes up these defects.This paper proposes the means of ontology presenting based on the form of concept lattices visualizing in three-dimensional space. The experimental results indicate that this method has great validity.

Abstract: The major content in FCA is to extract formal concepts and connections between them from data in form of formal context so as to form a lattice structure of formal concepts. Fuzzy set theory and fuzzy logic are acknowledged as an appropriate formalism for capturing imprecise and vague knowledge. The paper offers a methodology for building ontology for knowledge sharing and reusing based on fuzzy concept lattices union. This paper makes up these defects by applying formal concept analysis theory and fuzzy sets to construct concept hierarchies of ontology, and the experiments shows the CPU Time in the attribute numbers, indicating that FFCA is superior to FCA in building the ontology of semantic web.