Context in Artificial Intelligent and Information Modeling

The modeling, representation and use of context is the challenge for the coming years in Artificial Intelligence, especially when we now face very large knowledge bases, complex problems and multimedia means. The notion of context is important since it can capture many of the interesting aspects of the way we understand the world, such as relativity, locality, partiality, and contextdependence. In Artificial Intelligence, a number of formal or informal definitions of some notion of context have appeared in several areas. However, all these notions of context are very diverse and serve different purposes. In this paper, we give an overview of the notion of context in Artificial Intelligence and we focus in information modeling to present our approach of how to model context. In particular, we present a context-based model for structuring and accessing information in large information bases.