当前Web服务发现过程中,为满足不同用户的个性化选择需求,一种具有可靠服务质量保证的Web服务匹配方法是迫切需要的。基于WordNet本体,文中提出一种考虑QoS语义和数值综合匹配的QOS匹配模型。该匹配模型包含了语义匹配、数值匹配、多属性决策矩阵、领域专家意见、以及获得Top-k候选服务等过程,文中讨论了这些匹配过程,并进行了仿真实验。结果表明,与传统方法相比,采用文中提出的QoS匹配模型在一定程度上提高了Web服务发现的查准率。
In the process of Web service discovery, in order to satisfy various kinds of users personalized need, Web service matching based on reliable QoS is necessary. Based on WordNet, it presents a QoS matching model considering compositing QoS ontology and QoS numerical value. The matching model contains ontology matching, numerical value matching, multi-attribute decision matrix, do- main experts' suggestion, get Top-k advertising services. And a set of experiments demonstrate the benefits and effectiveness of the approach.