Improvement of semantic distance-based concept similarity computation in Web service matching
Yong Feng · Journal of Computer Applications · 2011
In Web service matching,the concept similarity computation based on semantic distance plays an important role.Because the influence of semantic asymmetry and semantic density has not been considered in current concept similarity computation based on semantic distance,the computation result is not accurate.To enhance the accuracy of the concept similarity computation,the semantic distance-based concept similarity computation was improved by adding the asymmetry factor and density factor on the basis of the current research.Finally,the feasibility of the improved semantic distance-based concept similarity computation was verified via an example.According to the contrast analysis,the improved semantic distance-based concept similarity computation can reflect semantic relationship between concepts more truly and the computation result is more in line with the objective reality.