AN ANALYSIS OF RULES-BASED SYSTEMS TO IMPROVE SWRL TOOLS

摘要：

The Semantic Web renewed a growing interest in rule based software systems and their development. Semantic Web Rule Language (SWRL) is a rule language that enables Horn-like rules to be combined with Web Ontology Language (OWL) knowledge bases to provide even more expressivity. However, as rule based web system mature, the number of rules they use grows making them difficult to manage.Developers face problems when trying to understand and control the big rule sets they create.In order to address this problem, techniques and tools are necessary to organize,view and create new rules as part of a large rule set.This work presents strategies and techniques developed in order to improve SWRL tools based upon a survey of rule tools,a study of the state of the art and the analysis of representative rule sets.

关键词： Rule acquisition Rule visualization Rule management OWL SWRL

作者: Adriano Rivolli Jo(a)o Paulo Orlando Dilvan A. Moreira

作者单位: Dept.of Computer Science,ICMC - USP, Dept. of Computer Science, ICMC - USP, Av. Trabalhador Sancarlense, 400, S(a)o Carlos, Brazil

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 794-797

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）