Service Similarity Measure Based on Ontology and Vector Space Model
Jike Ge · Journal of Southwest China Normal University · 2009
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.