Managing adaptive pervasive computing using knowledge-based service integration and rule-based behavior

The commonly articulated vision of pervasive computing represents a huge increase in the number of independently developed components that must interoperate and in the level of autonomy they must demonstrate. This motivates a shift to exchanging interoperability knowledge between components at runtime coupled with the ability of components to adapt themselves dynamically to the requirements of users moving between spaces and tasks. The confluence of the service-oriented techniques and ontology-based semantics, as semantic Web services, offers such dynamic adaptivity through knowledge-based service composition. We aim to establish a conceptual architecture for pervasive computing that integrates semantic service composition and policy-based management in providing a collective behavior that adapts to the user´s changing needs, but which conforms to the goals of those responsible for the resources used by those services.