context representation using hierarchical method and heuristic based context selection in context aware computing
Pervasive computing systems target at constantly adapting their behavior to meet the needs of users within every changing physical, social, computing and communication context. Pervasive computing makes ad-hoc connection among them and is connected to different types of sensors to capture changes in the environment. This paper proposes representation of context in a hierarchical form, storing of context data in an object relational database rather than an ordinary database and selecting the context using heuristic pruning method and loads only relevant context data into the reasoner. This influences the only limited amount of context data in the reasoning space which further improves the performance of the reasoning process.
context aware computing object relational database relational database ontology