Knowledge Management: A Practical Amalgam of Knowledge and Data Base Technology

Charles Kellogg

This paper describes the central features of a system designed for the management of large amounts of application specific knowledge. The Knowledge Manager (KM-I) employs distinct software and hardware processors to implement: 1) A file of general knowledge and an associated reasoning engine, and 2) A file of specific knowledge and an associated searching engine. We present our reasons for believing why this can be an effective strategy for realizing many practical knowledge based/expert system applications that lie in a large overlapping area between practical AI and advanced data management technology. We then outline the major features and components of the system and discuss the range of intended applications.

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