Title :
f-R2ML: A fuzzy Rule Markup Language
Author :
Xing Wang ; Xiangfu Meng ; Jinguang Sun ; Ji Chen
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
Abstract :
Fuzziness is an important feature of knowledge in the Semantic Web. However, common Semantic Web rule markup languages including R2ML (REWERSE Rule Markup Language) are not capable of representing, markuping and reasoning with fuzzy knowledge. In the paper, based on fuzzy sets which suffice to represent fuzziness, a fuzzy rule markup language named f-R2ML (fuzzy R2ML) is proposed. The abstract syntax and concrete syntax of f-R2ML are presented, and the semantics and XML Schema of f-R2ML are also defined.
Keywords :
XML; fuzzy set theory; semantic Web; REWERSE rule markup language; f-R2ML XML schema; f-R2ML abstract syntax; f-R2ML concrete syntax; f-R2ML language; fuzziness feature; fuzzy knowledge; fuzzy rule markup language; fuzzy set; semantic Web; Fuzzy sets; Knowledge engineering; Semantic Web; Semantics; Syntactics; XML; R2ML; Semantic Web; f-R2ML; fuzziness; fuzzy set; semantics; syntax;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019692