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, и C. Ghidini. KR 2000 -- Workshop on Semantic Approximation, Granularity, and Vagueness, KR & R, (2000)Short version of bbg01context.
M. Benerecetti, P. Bouquet, и C. Ghidini. Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'01), том 2116 из LNCS, стр. 59-72. Springer, (2001)
M. Benerecetti, P. Bouquet, и C. Ghidini. Proceedings AIMSA'98, 8th International Conference on Artificial Intelligence, Methodology, Systems, and Applications, том 1480 из LNAI, стр. 62--75. Sozopol, Bulgaria, Springer Verlag, (сентября 1998)Winner of AIMSA'98 Best Paper Award..
M. Benerecetti, P. Bouquet, и C. Ghidini. Philosophical Foundations of Artificial Intelligence. A special issue of the journal of Experimental and Theoretical AI (JETAI), 12 (3):
279-305(2000)