针对传统基于语义的Web服务匹配算法无法解决模糊语义下匹配的问题，提出一种基于动态信任语义库的Web服务匹配算法。将交互实体对服务提供者的评价行为进行灰色聚合，筛选出可信实体；依据可信实体对服务提供者的服务描述，提取语义信息，构建动态的语义库，对于Web服务描述中的模糊语义概念，从可信实体的服务描述中抽取相应概念并替换；计算服务请求向量与服务描述向量的语义相似度，衡量Web服务的匹配程度。实验结果表明，在存有模糊语义的情况下，该算法具有更好的匹配效果。%Traditional semantic‐based Web service matching algorithms fail to solve the matching problem when fuzzy semantic concepts exist .A matching algorithm based on dynamic trust‐based semantic library was proposed to solve it .To filter out the trusted entities ,the grey aggregation was firstly processed in the evaluation that the interactive entity gave to the service provi‐der .Then ,a dynamic semantic library was created by extracting semantic information from the service description recorded in the trusted entities .In the library ,the fuzzy semantic concepts were replaced by that extracted from the recommended service description .The semantic similarity was calculated at last among the vectors of the service request and the service description . The experimental results show that the proposed algorithm has better matching effect when fuzzy semantic concepts exist .
展开▼
