Fuzzy Conceptual Graphs for the Semantic Web
Despite its great usefulness in making information widely available to everyone, the current World Wide Web is showing its limitations with the explosion of information over the Internet. Its hypertext-based languages, like HTML, the information represented by which is mainly for human reading rather than machine processing, have hampered more advanced applications and better services on the Internet than ones currently available. For its next generation, the so-called Semantic Web, a logical formalism that can approach human expression and reasoning is a very good language candidate for Web documents. Conceptual graphs and fuzzy logic are two logical formalisms that emphasize the target of natural language, where conceptual graphs provide a structure of formulas close to that of natural language sentences while fuzzy logic provides a methodology for computing with words. This paper proposes fuzzy conceptual graphs, which combine the advantages of both the two formalisms, as a suitable Semantic Web language.