Promoting Adaptation of Semantic Web Service Composition Using Context Information

In this paper, we propose a context-aware service composition framework to ascertain the efficiency and flexibility for the composition process, and thereby improving the adaptation. The major technical contributions of this paper are: (1) We propose an ontology-based Context model, OWL-SC, captures the Service-related, Environment-related and User-related context and can be used in an unambiguous, machine interpretable form. (2) We propose an approach to use the context information and to derive implicit context. (3) We propose a hybrid method to generate the composition process and filtering the inappropriate services.