基于过滤选择的语义Web服务发现研究

Study on semantic web services discovery based on filtrating and selecting

随着Web服务技术的发展和应用,具有较高查准率和查全率的语义Web服务发现成为一个研究热点,但它实现复杂,匹配效率不高。针对上述不足,在标注分类信息的目标Web服务描述本体的基础上,提出一种基于过滤选择的语义Web服务发现方法,来提高服务发现的时间效率和服务质量。该方法先根据服务的部分属性进行服务过滤,通过功能匹配进一步服务筛选,最后结合服务质量进行服务选择。实验结果表明,此算法在一定程度上提高了服务发现的时间效率和服务质量。

With the development and application of web services technologies, the semantic web service discovery with high recall and precision had already become a hot subject of research. But it had the complicated implementation and low matching efficiency. With the above-mentioned deficiency, a method of semantic web services discovery based on filtrating and selecting is presented on the basis of a goal web services description ontology with service classification in order to improve the time efficiency and services quality of ser- vice discovery. The method firstly filtrated web services with some attribute of the service, then filtered services based functionality matching, and finally selected serviced associating with the service quality. The experiments prove that the algorithm, to some extent, the time efficiency and services quality of service discovery are advanced.