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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.