这篇论文为由使用语义评价万维网服务涉及媒人。到目前为止,语义媒人的几个方法被建议了。然而,他们中的大多数集中于分类服务进预定义的范畴而非提供评价结果。在这篇论文,语义媒人的一个新方法为评价万维网服务被建议。Itis 建议使用语义距离估计在一种服务和一个用户请求之间的匹配的学位。语义距离的四种类型被定义,四个算法分别地被实现计算他们。试验性的结果证明建议语义媒人显著地超过基于关键词的基线方法。
This paper is concerned with the matchmaker for ranking web services by using semantics. So far several methods of semantic matchmaker have been proposed. Most of them, however, focus on classifying the services into predefined categories rather than providing a ranking result. In this paper, a new method of semantic matchmaker is proposed for ranking web services. 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 keywordbased baseline method.