Discovering Homogenous Service Framework Based on Matching Mechanism and Clustering
How to efficiently select Web services that can best meet the requirements of consumers is an ongoing research direction in Web service community.However, current discovery systems support either WSDL or OWLS Web services but not both.Through the automatically collected WSDL files and the OWL-S web service related matching mechanism, the idea of transforming various existing web services on the Internet into a service cluster of similar homogeneous , then we can create a service search engine successfully and at the same time the search space can be reduced.By means of providing a mechanism for matching the characteristics properties of relevant web services, we can put them all together into a group which can be found and applied.
Web service WSDL OWL-S clustering k-means algorithm web service of Homogeneous unique distance service discovery
Meng Wang Shuyu Li
Dept.of Computer Science,Shaanxi Normal University,Xian China
国际会议
厦门
英文
462-466
2011-07-08（万方平台首次上网日期，不代表论文的发表时间）