f-R2ML: A fuzzy Rule Markup Language
Xing Wang, Jinguang Sun, Xiangfu Meng, Ji Chen · 2011
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.