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

نویسنده

  • Charles Kellogg
چکیده

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: 6 A file of general knowledge and an associated reasoning engine 6 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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تاریخ انتشار 1982