Track: Services
Paper Title:
A Kernel based Structure Matching for Web Services Search
Authors:
Abstract:
This paper describes a kernel based Web Services (abbreviated as
service) matching mechanism for service discovery and integration.
The matching mechanism tries to exploit the 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 the functional similarity between services, whose
parameters are learned by a Ranking-SVM. The experiment results
showed that several metrics for the retrieval of services have been
improved by our approach.
