A knowledge-based message management system

Author:

Chang Shi-Huo1,Leung L.2

Affiliation:

1. Univ. of Pittsburgh, Pittsburgh, PA

2. Borg Warner Research Center, Des Plaines, IL

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,General Business, Management and Accounting,Information Systems

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stereotype-based versus personal-based filtering rules in information filtering systems;Journal of the American Society for Information Science and Technology;2003

2. Storage and retrieval of e-mail in a business environment: An exploratory guide;Library & Information Science Research;2002-01

3. SUPPORTING DISTRIBUTED INDIVIDUAL TASKS IN COOPERATIVE SPECIFICATION DEVELOPMENT;International Journal of Software Engineering and Knowledge Engineering;2000-06

4. Automatic text structuring and categorization as a first step in summarizing legal cases;Information Processing & Management;1997-11

5. On automated message processing in electronic commerce and work support systems;ACM Transactions on Information Systems;1997-10

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