Paper Title:
Fuzzy Knowledge Representation for Fuzzy Systems Based on Fuzzy Ontology on the Semantic Web
  Abstract

Ontology is adopted as a standard for knowledge representation on the Semantic Web, 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.

  Info
Periodical
Edited by
Dehuai Zeng
Pages
13-16
DOI
10.4028/www.scientific.net/AMR.159.13
Citation
J. Zhai, L. L. Qu, Y. Chen, J. F. Li, "Fuzzy Knowledge Representation for Fuzzy Systems Based on Fuzzy Ontology on the Semantic Web", Advanced Materials Research, Vol. 159, pp. 13-16, 2011
Online since
December 2010
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$32.00
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