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Service-Oriented Computing provides a technical support to AmI vision. However, the operation and management of semantic Web service which is on the basis of ontology reasoning is low-efficiency and time-consuming, can hardly adapt to real-time applications in AmI system. So this paper proposed the pretreatment-based SMART policy, and presented the scenario division as well as its corresponding composite models of the multi-granularity semantic service network. The storage management and the access mechanism of the multi-granularity semantic Web service network were also stated in detail. Last, results of experiments show that the SMART policy, deployed in the AmI system, performed a satisfying real-time access performance, improved resource utilization and enhanced the user experience.
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