Title :
RIF2Jess: Inferencing RIF Rules via Translation to Jess Rules
Author :
Chen, Wei ; Ouy, Dan-tong ; Ye, Yu-xin
Author_Institution :
Sch. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
The W3C recommendation named RIF provides a standard format to facilitate the exchange of rules. After being translated to RIF, the rule language needs a rule engine to perform inference. On the condition that there is no specific rule engine to RIF, this paper proposes the idea of using common rule engine to reason RIF. A system named RIF2Jess is designed. This system translates RIF rule to Jess rule and uses Jess rule engine to perform inference. Thus, we finish the inference of RIF by using RIF2Jess. Experiments show that RIF2Jess can make the translation precisely and get the result completely.
Keywords :
knowledge based systems; ontologies (artificial intelligence); semantic Web; Jess rule engine; RIF rules; RIF2Jess; W3C recommendation; rule interchange format; rule language; rule-based systems; semantic Web; Computer science; Cost accounting; Engines; Inference algorithms; Java; Knowledge based systems; Knowledge engineering; Laboratories; Semantic Web; XML;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365267