基于本体和向量空间模型的服务相似度度量

Service Similarity Measure Based on Ontology and Vector Space Model

提出了一种应用本体层次树和向量空间模型生成服务间相似性的度量方法,该方法能够在语义层次上获取更加符合人类直观认识的不同服务间的相似度,通过与传统相似度度量方法的对比,验证了该方法的有效性.

With the development of services discovery research, it is a key research that finding the similarity between services entities in order to implement the collaborative services. The methods for comparing entities ＇ similarity are traditionally based on set intersection. Intersection-based methods can not accurately capture the similarity in certain domain. On the basis of currently research, the authors propose a new measure that exploits ontology hierarchical tree and vector space model in order to produce more intuitive similarity; this method can match human intuitive knowledge semantically. At last, the authors provide an experimental comparison of their method against traditional similarity measures, and report the efficiency of their methods.