Classification Based Parameter Association for Non-redundant Annotation

摘要: Semantic annotation of Web Services can facilitate the automated service discovery and composition. At present, however, many solutions suffer from redundant annotations or imprecise derived annotations. The fundamental task to address issue is find parameters that have same semantics in a large number Services. This paper proposes classification based approach for identifying are semantically equivalent, laying foundation non-redundant annotation. Subsequently presents annotation, which parameter space firstly reduced, then semantic performed on reduced space, finally results expanded original space. To evaluate final results, gives methodology discovery. experimental indicate association achieve outstanding accuracy equivalence between parameters. Moreover, it suggested greatly reduce annotations, augment with adequate accuracy, similar performance as OWL-S services do.