带情景约束和增强语义的web服务匹配方法

针对目前语义web服务匹配方法中缺少对服务情景约束的考虑及传推理匹配的结果中同一级别缺少语义细分的缺点，设计了一种带情景约束和增强语义的相似度计算匹配方法。首先通过服务情景约束兼容性检测过滤掉不相关的服务；然后借助本体进行服务属性间的语义获取和语义相似度计算，得出待匹配服务的精确匹配度；最后对满足用户请求的服务进行反馈评价。实验结果表明，该方法较之传统的OWL—S／UDDI匹配方法在查准率和查全率方面得到了很大改进。

Matching of Semantic Web Service Based on Context Constrains and Enhanced Sematic

Aimed at lacking of considering the service context constraints and the deficiency of traditional reason matching whose result can＇t tell the semantic difference between the same degree in current matching algorithm of semantic web service, a new matching approach of semantic web service with service context constraints based on the reasoning and the enhanced computation of semantic similarity was proposed. First, this method filtered out the irrelevant services by checking compatibility of the service context constraints, then reasoning is applied to get different rank services, on the basis of rank services, the computation of semantic similarity was carded out by ontology to get more semantic infomation, in this way, the precise matching degree of services was gained; Finally, the evaluation of gained services which satisfied with the user＇s requirement was given. Compared to the traditional algorithm of OWL-S/UDDI, the experiment results showed that the approach could increase recall and precision ratio greatly.