Personalized management of semantic, dynamic data in pervasive systems: Context-ADDICT revisited

Abstract

Due to the high information load to which everyone is exposed in her everyday life, the rise of new, systems fully supporting pervasive information distribution, analysis and sharing becomes a key factor to allow a correct and useful interaction among humans and computer systems. This kind of systems must allow to manage, integrate, analyze, and possibly reason on, a large and heterogeneous set of data. The SuNDroPS system, briefly described in this paper, applies context-aware techniques to data gathering, shared services, and information distribution; the system is based on a context-aware approach that, applied to these tasks, leads to the reduction of the so-called information noise, delivering to the users only the portion of information that is useful in their current context.