A Fuzzy RDF Semantics to Represent Trust Metadata

نویسنده

  • Mauro Mazzieri
چکیده

The need for fuzzy knowledge bases arises from many application fields, such as trust management. To represent fuzzy data, a syntactic and semantic extension of RDF is proposed. The syntax adds to each triple a truth value. The semantic for Fuzzy RDF and Fuzzy RDF Schema allows to derive truth values for derived statements as well. Fuzzy RDF/RDFS does not aim to become a standard extension to plain RDF/RDFS. It is conceived to be used only inside the applications. Fuzzy data can be transferred as standard RDF using reification. The extra semantic can be brought back using rules.

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تاریخ انتشار 2004