基于扩展VSM的Web服务发现

Web Services Discovery Based on Enhanced VSM

在扩展空间向量模型(VSM)的基础上设计并实现了一种Web服务发现机制。该机制结合Web服务语法和结构信息,利用相似度计算实现Web服务的发现。系统通过分析Web服务描述文档结构特点,改进现有的VSM模型,并加入WordNet扩展同义词相似概念,使得语义上等价的词被映射到相似的特征向量上,消除存在歧义的上下文,定义Web服务语法相似度函数,实现Web服务潜在语义信息的进一步挖掘。实验评测和分析表明,基于扩展VSM的方式使Web服务发现的查准率提高了9.7%,错误率降低了8.5%。

This paper designs and implements a Web services discovery mechanism based on enhanced Vector Space Model（VSM）,combines the syntactic and structural information to calculate the similarity between services,analyzes the structural characteristics of service descriptions,adds WordNet to extend the VSM,and makes the semantically equivalent words mapped into the similar vector space which can avoid ambiguity.Similarity equation is defined to calculate the matching degree between services to discover the underlying semantics.Experiments show that the Web services discovery mechanism based on enhanced VSM improves the average precision by 9.7% and reduces the error-rate by 8.5%.