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.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.