This paper presents the results of a case study of a (perceived) problem of information overload from e-mail in a large firm. We argue that for CMCs to be effective there is a need to establish a ‘context’ in which the message can be interpreted.
M. Benerecetti, P. Bouquet, and C. Ghidini. KR 2000 -- Workshop on Semantic Approximation, Granularity, and Vagueness, KR & R, (2000)Short version of bbg01context.
M. Benerecetti, P. Bouquet, and C. Ghidini. Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'01), volume 2116 of LNCS, page 59-72. Springer, (2001)
M. Benerecetti, P. Bouquet, and C. Ghidini. Proceedings AIMSA'98, 8th International Conference on Artificial Intelligence, Methodology, Systems, and Applications, volume 1480 of LNAI, page 62--75. Sozopol, Bulgaria, Springer Verlag, (September 1998)Winner of AIMSA'98 Best Paper Award..
M. Benerecetti, P. Bouquet, and C. Ghidini. Philosophical Foundations of Artificial Intelligence. A special issue of the journal of Experimental and Theoretical AI (JETAI), 12 (3):
279-305(2000)