摘要
针对现有Web服务查找准确度不高的问题,提出一种Web服务语义匹配方法——MSURAP(matching semantic using relation and property).该方法在概念间基本推理关系的基础上进行细化,通过对概念间的属性,实例等语义关系比较分析,综合计算得到匹配值,使概念语义匹配准确度提高.实验结果表明,MSURAP在不增加服务查找时间前提下,提高了Web服务查准率.
To solve the problem of low accuracy in finding Web services,this paper presents a Web service semantic matching method—MSURAP（Matching Semantic Using Relation and Property）. This method not only makes use of the basic reasoning relationship between concepts and does refinement of this relationship,but also compares the properties,instances and so on of the concepts. Then we do the integrated computing and this method improves the accuracy of the concept matching. The experiment shows MSURAP improves the precision rate of Web services in the condition of not increasing the time of Web service discovery.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2010年第4期467-472,共6页
Journal of Wuhan University:Natural Science Edition
基金
国家重点基础研究发展计划(973)项目(2007CB310801)
国家自然科学基金资助项目(60970017)
关键词
语义匹配
概念匹配
查准率
semantic matching
concept matching
precision rate
