A kernel based structure matching for web services search

Jianjun Yu, Shengmin Guo, Hao Su, Hui Zhang, Ke Xu

Abstract: This paper describes a kernel based Web Services (abbrevi-ated as service) matching mechanism for service discoveryand integration. The matching mechanism tries to exploitthe latent semantics by the structure of services. Using textual similarity and n-spectrum kernel values as features of low-level and mid-level, we build up a model to estimate thefunctional similarity between services, whose parameters arelearned by a Ranking-SVM. The experiment results showedthat several metrics for the retrieval of services have beenimproved by our approach.