A Chemical Model to Enable Context Awareness

Modeling ad-hoc context-aware services and applications that are delivered to a user as they move through a smart space has always been fraught with difficulty. It requires representation, management and inference of context, dynamic update of both context & application domain models, reasoning matching, querying and triggering of services. Quite often these systems comprise of many models and extensive middleware which seems excessive for simple context-aware applications involving mobile and wireless devices. Configuring and triggering services automatically whilst traversing a particular space further compounds the complexity. Part of the problem is finding a conceptual abstraction which is compact and concise yet can inclusively model all the dynamism and expressivity required of such a system. In this paper we propose a Chemical Model inspired by Mendeleev's periodic table that we have experimented with and shows promise in fulfilling these requirements.