Knowledge Management in Expert System Creator

Authors:
Daniel Pop;Viorel Negru
Affiliations:
-;-
Venue:
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Year:
2002

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Abstract

Recent explosive growth in data and the availability of large data-sets in multiple disciplines, generates the need for new techniques and tools that can intelligently transform the data into useful information and knowledge. The machine learning algorithms synthesize various knowledge representation forms, most of them equivalent and inter-changeable. A new approach is needed to support and combine the knowledge representation form with various data sources (represented by database management systems). In this paper, a powerful, visual CASE tool for knowledge management is introduced. It supports the integration of high-level knowledge "beans" into host projects. A scalable approach to the problem of data integration from conventional database systems in expert systems is also over-viewed.