Fuzzy knowledge representation for fuzzy systems based on ontology and RDF on the Semantic Web

Author

Zhai, Jun ; Liu, Wei ; Liang, Yiduo ; Jiang, Jiatao

Author_Institution

Sch. of Econ. & Manage., Dalian Maritime Univ., Dalian

fYear

2008

fDate

20-23 June 2008

Firstpage

1101

Lastpage

1105

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.

Keywords

fuzzy set theory; fuzzy systems; ontologies (artificial intelligence); semantic Web; Web applications; fuzzy concepts; fuzzy knowledge representation; fuzzy linguistic variables; fuzzy ontology; fuzzy rule; fuzzy systems; resource description framework; semantic Web; semantic relationship; Electrical equipment industry; Fuzzy control; Fuzzy systems; Industrial control; Industrial relations; Knowledge representation; Ontologies; Resource description framework; Semantic Web; Washing machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation, 2008. ICIA 2008. International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-2183-1

Electronic_ISBN

978-1-4244-2184-8

Type

conf

DOI

10.1109/ICINFA.2008.4608163

Filename

4608163