Strategies and techniques for use and exploitation of Contextual Information in high-level fusion architectures
Juan Gómez‐Romero, Jesús Garcı́a, Michael Kandefer, James Llinas, José Manuel Molina, Miguel Angel Patricio, Michael Prentice, Stewart Shapiro · 2010
Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications. This paper will discuss the role(s) of Contextual Information (CI) in a wide variety of IF applications to include AI, CA, Defense, and Cyber-security among possible others, the issues involved in designing strategies and techniques for CI use and exploitation, provide some exemplars of evolving CI use/exploitation designs on our current projects, and describe some general frameworks that are evolving in various application domains where CI is proving critical.