A knowledge-based message management system

Authors:
Shi-Huo Chang;L. Leung
Affiliations:
Univ. of Pittsburgh, Pittsburgh, PA;Borg Warner Research Center, Des Plaines, IL
Venue:
ACM Transactions on Information Systems (TOIS)
Year:
1987

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Abstract

The design approach of a knowledge-based message management system is described. A linguistic message filter is used to filter out junk messages. Relevant messages are then processed by an expert system, driven by user-defined alerter rules. An alerter rule base for a secretarial office is illustrated. Further research topics in knowledge-base design, evaluation, and learning are also discussed.