Meir M. Laker

Towards knowledge management in autonomic systems

The classical definition of knowledge management promises to get the right knowledge to the right people at the right time so they can make the best decision [G. Petrash, 1996]. Autonomic systems, on the other hand, are expected to find and apply the right knowledge for self-managing purposes without human intervention. This article discusses the components to be built around a system to enable self-healing and managing capabilities. These are defined and described in this article as self-knowledge, self-monitoring, self-learning, problem detection, diagnosis, and search and solution components. Interaction of these system components to make knowledge available for self-healing purposes is also discussed.

An experiment in constructing an open expert system using a knowledge substrate

This paper discusses an experiment in the use of an object-centered knowledge representation service to provide a common conceptual model for the construction of a large knowledge-intensive decision support tool. A core knowledge substrate forms a common resource for a variety of problem-solving activities and a basis for the rapid construction of new capabilities. FAME, a substantial expert system to aid in the financial marketing of IBM mainframes, has been built and extensively tested in the field to validate our tools and techniques.