摘要
为区分网络上存在着的大量的Web服务,提出了一种有效的分类方法,利用本体的结构存储分类模型,动态生成分类结果,即服务本体文件.重点阐述了Web服务相似度的计算方式,包括服务名称相似度、输入列表相似度、输出类型相似度和服务描述相似度.通过读取服务本体的分类模型,可提高服务请求者检索服务的效率.
In order to distinguish a large number of Web services on the internet, an effective classification method is proposed, using the structure of ontology to store classification model, and dynamically generating classification results as a service ontology file. It focuses on the calculation method of the Web service similarity, including serv- ice name similarity, input list similarity, output type similarity and description similarity. By reading the service ontology classification model, the efficiency of service searching with the service requester can be improved.
出处
《华南师范大学学报(自然科学版)》
CAS
北大核心
2012年第4期52-55,共4页
Journal of South China Normal University(Natural Science Edition)
基金
福建省科技厅重点项目(2008H0025)