Name
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. © 2011 IEEE. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/FSKD.2011.6019692 | FSKD |
Keywords | Field | DocType |
f-r2ml,fuzziness,fuzzy set,r2ml,semantic web,semantics,syntax,knowledge engineering,fuzzy set theory,xml,fuzzy sets,markup language | SGML,Document Definition Markup Language,Computer science,PCDATA,Natural language processing,Artificial intelligence,Fuzzy Control Language,Semantic Web Rule Language,RuleML,Fuzzy rule,Markup language | Conference |
Volume | Issue | Citations |
2 | null | 1 |
PageRank | References | Authors |
0.39 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xing Wang | 1 | 13 | 10.58 |
| Jinguang Sun | 2 | 13 | 2.30 |
| Xiangfu Meng | 3 | 55 | 14.18 |
| Ji Chen | 4 | 1 | 0.72 |