Experimental results obtained using the mstar and xpatch database show that the performance of our new approach is better than that of the baseline method of american afrl ' s sharp in the same dataset 针对mstar和xpatch数据按新方法进行了实验研究，实验结果表明我们的新方法优于美国wrightpattern空军研究室的sharp项目组采用的基准方法。
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It is proposed to use the semantic distance for estimating the matching degree between a service and a user request . four types of semantic distances are defined and four algorithms are implemented respectively to calculate them . experimental results show that the proposed semantic matchmaker significantly outperforms the keyword - based baseline method 因此，为了比较准确的区分不同服务与用户请求之间的匹配程度，本文首先提出了一个基线服务匹配方法，利用关键字匹配将每个服务与用户请求之间的匹配程度进行量化表示，并按照匹配程度对服务进行排序，便于用户选择最合适的服务。
