采用服务聚类的语义服务发现

Semantic Service Discovery Based on Service Aggregating

如何从大规模的服务集合中快速、准确发现目标服务是应用Web服务的关键问题。针对目前UDDI中粗糙的分类方法的缺点,采用语义Web服务基于服务功能聚类的方法对服务集合进行功能聚类。为提高服务发现准确度,在对服务功能匹配的基础上,将服务的过程模型转换为Petri网结构,并将此结构按照基于用户需求中潜在的过程模型进行模型匹配聚类。通过预先的聚类和两层筛选,来提高服务查询的精度和效率。

Discovering suitable Web services for a given user request is one of the key operations in Service-oriented Architectures. With the popularity of Web services, shortening the discovery duration and improving discovery precision become more and more important. In order to solve the rush classification of UDDI,this paper adopts the semantic Web services for aggregating based on service function. In order to improve service discovery precision, compare the Petri Net of request＇ s with service which in result of function matching. Advance aggregating and two layers filtering are conducted to improve services discovery precision and efficiency.