Optimizing Information Supply by Means of Context: Models and Architecture

Information overload threatens to vitiate the benefits of ubiquitous information availability. Information logistics offers a solution to this problem by making only correct and genuinely needed information available at the right time and place. For this purpose, information logistical applications process various data about the environment of entities. Our approach is to embed features of context-aware computing into information logistics. In this paper we examine the aspects of and develop models and an architecture for the use of context in information logistics. We show how this enables us to expand the benefits of context-awareness to an overall optimization of information supply.