Development of ontology based middleware for context awareness in ambient intelligence

There is currently lot of work in Ambient Intelligence particularly in context awareness. Context awareness enables service discovery and adaptation of computing devices for Ambient Intelligence application. In the same time, there is a common agreement of the fact that context aware systems should be responsive to Multi agents, assisting a large number of people, covering a large number of devices, and serving a large number of purposes. In an attempt to achieve such context aware systems with scalable scenario implementations, we propose an adaptive and autonomous context aware middleware using Ontology. Formal expressiveness and reasoning characteristics of Ontology make this middleware supportive to divergent programming applications. Our model provides a meta-model for context description that includes context collection, context processing and applications reactions to significant context changes. The advantage of the proposed ontology based middleware architecture is to improve the context awareness ability of the system and support divergent applications.