Knowledge representation for fuzzy systems based on linguistic variable ontology and rdf

Abstract

The Semantic Web is turning into a new generation web, where ontology is adopted as a standard for knowledge representation, and Resource Description Framework (RDF) is used to add structure and meaning to web applications. In order to incorporate fuzzy systems into the Semantic Web, this paper utilizes fuzzy ontology to represent formally the fuzzy linguistic variables, considering the semantic relationships between fuzzy concepts. Then fuzzy rule is described as a RDF resource with properties: IF and THEN, and rule's antecedent and consequent is represented in RDF statement. Taking the fuzzy control system of industrial washing machine for example, the fuzzy system with ontology and RDF is built, which shows that this research enables distributed fuzzy applications on the Semantic Web. © 2011 Springer-Verlag Berlin Heidelberg.