摘要
随着Web服务的广泛应用和迅速发展,服务的种类和数量越来越多,要在众多的Web服务中高效地发现满意的服务成为一个关键的问题。目前的Web服务发现方法大多是采用基于关键字匹配的机制,查全率和查准率不高,难以满足用户的需要。针对这个问题将OWL-S引入服务发现,为Web服务添加语义信息,运用本体推理技术,文中提出一种基于OWL-S的语义相似度匹配度计算的Web服务发现方法,并设计了服务发现原型系统。实验结果表明提出的服务发现方法能够获得较好的服务发现效果。
With the rapid development and extensive use of Web services,the type and quantity of services is increasing,to find a satisfactory and efficient service among a large number of Web services has become a key issue.The current Web service registration and matching process has led to low recall and precision for service discovery and has much potential improvement for their performance.Propose a Web service discovery method utilizing semantic matching degree calculation.It described the Web service by using OWL-S to strengthen semantic information,and add semantic information to Web services,using ontology reasoning technology,and then the similarity degree of Web service is calculated,at last the request service matched the target service by using the similarity degree.Relative algorithms and the Web service discovery prototype system are designed.The experimental results demonstrate that proposed method can achieve better service discovery effectiveness.
出处
《计算机技术与发展》
2012年第4期73-76,共4页
Computer Technology and Development
基金
广东省自然科学基金(9151009001000007)
