摘要
语义Web服务发现问题研究的核心内容是服务描述与对应的服务发现方法。服务描述分为服务请求描述与服务发布描述,但目前的服务发现方法,并未将请求描述与发布描述分开,以比对服务请求描述与服务发布描述中对应部分作为匹配依据,导致服务请求描述构建困难以及发现结果不够理想。提出以语义规则刻画服务请求描述,以本体构建服务发布描述,进行有效的以语义规则驱动的Web服务发现。对语义规则添加影响因子使得服务匹配精度可以通过匹配度来度量,并按照给定的调节系数来决定最终匹配是否成功。最后以OWL-STCV2测试服务集合进行了对比实验,证实该方法有效地提高了查全率与查准率高,特别是Top-k查准率。
The core of research on semantic Web service discovery is service description and the corresponding discovery methods.Service description can be divided into service request description and service advertisement description.The current method of service discovery does not separate these two kinds of descriptions.In this paper,using the semantic rule as the means to describe the service request,while using OWL-S service description language as service advertisement description language.Adding impact factor to the semantic rules in the service request description to reflect the contribution of this rule to the matchmaking result and to facilitate the matching degree calculation.An accommodation coefficient is introduced to judge if a given matching degree is enough to make a matchmaking success.Finally,OWL-S TC V2 testing service set is used to do contrast experiment,the results confirm that the method increases the effective rate of recall and high precision,especially the Top-k precision.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第28期80-84,共5页
Computer Engineering and Applications
基金
国家自然科学基金No.60373000~~
