A Goal-driven Approach of Service Composition for Pervasive Computing

It is an important problem for pervasive computing to coordinate and compose large numbers of devices and services to achieve users´ various task goals. The pervasive computing environment is transparent for users. In order to simplify the interaction between users and the environment, this paper presents a goal-driven approach of service composition. We build a task-oriented semantic representation model of Web services and based on this model goal-driven service composition is performed dynamically to achieve user´s goal. We also describe a simulated application scenario in this paper and discuss the process of task definition and service composition according to the scenario. This approach simplifies the interaction between users and pervasive computing environment and improves the flexibility of service cooperation and composition in the environment