| Semantic Web as the next generation of the Internet makes the information on the semantic web contain the semantics. And Semantic Web also enables to achieve human and computer interaction at the semantic level. How to solve the emerging fuzzy problem becomes an issue of research.The fuzzy theory proposed by Zadel has been successfully used in many control systems.Integrating the fuzzy system into the Semantic Web to solve the fuzzy problem is an inevitable choice.The paper is oriented to knowledge representation for the semantic web. and the relevant work is as follow:(1) Introduce the core technology of the semantic web, including:Definition of Ontology, Linguistic Variable Fuzzy Ontology, Resource Description Framework and Semantic Web Rule Language.(2) Study how to represent linguistic variables fuzzy ontology formally. Linguistic variable is an important concept presented by Zadel, which is a tool for fuzzy systems representation and provides a fuzzy knowledge sharing and reuse mechanisms. In this paper, RDF graph and RDF language are used to represent the linguishtic variable fuzzy ontology, which are equivalent for each other.(3) Fuzzy rule base is a core component of fuzzy systems and fuzzy rules representation is the key for fuzzy system's integrating into the Semantic Web. This paper proposes a method to represent the fuzzy rules in the Semantic Web Rule Language, which greatly enhance the expressive force of fuzzy rules and expand the range of rules engine based reasoning.(4) Construct a fuzzy epidemic diagnosis system and use the protege of Stanford University to represent the system, which gives a reference for knowledge sharing and reuse between heterogeneous systems on a large scale. |
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