自动化服务推荐模型的研究及实现

在建立以Web Services技术为基础的大型平台时，服务的发现与集成是人们所面临的关键问题。在探索现有的服务发现机制的基础上，引入了智能化与QoS思想，对服务的发现进行研究与扩展，提出了一种自动化的服务推荐模型。它利用语义Web和Agent相结合的技术，在UDDI的基础上，自动搜索并执行与用户需求相匹配的服务或服务流程，并将执行的结果反馈给用户，供其作出选择。同时为了提高结果的可靠性，该模型将根据QoS需求，对执行中的服务或服务流进行筛选，并对执行后的结果进行排序，以提高服务推荐的质量。

Research and Implementation of Automatic Service Recommendation Model

The discovery and integration of services are critical problems while developing a large platform based on Web services. After the research on the available service discovery mechanism, this paper proposes a model for automatic services recommendation to extend the service discovery. The model involves notions of QoS and artificial intelligence. With the combination of semantic Web and agent technology and use of UDDI, the model automatically searches and executes services or service processes that match users’ demands. After that, the execution results return to the users with which they may make decisions. Meanwhile, for the sake of the reliability of the results, the model filters the running services and services flow according to QoS, and ranks results so that the quality of recommendation will be enhanced.