Automated Construction of Knowledge-Bases from Examples.

Author List: Tam, Kar Yan;

Information Systems Research, 1990, Volume 1, Issue 2, Page 144-167.

The process of knowledge acquisition has long been regarded as the bottleneck in expert systems development. In this paper, a concept induction methodology for automated construction of knowledge-bases is presented and its use for knowledge acquisition is discussed. The applicability of such a tool to build expert systems is demonstrated using CONIS in some selected experiments. CONIS is a concept induction system that infers concept description from sample instances of the concept. We have also compared CONIS with conventional statistical techniques in solving classification problems. The results suggest that concept induction could become be a viable tool to automate the process of knowledge acquisition. By shortening the development cycle, domains that were once too volatile for expert systems application would become feasible using such an automated aid.

Keywords: Expert system; Knowledge acquisition; Knowledge-bases; Machine learning

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List of Topics

#129	0.469	expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain inductive rules machine artificial task
#175	0.274	taxonomy systems different concept isd alternative generalization mechanistic distinction types generalizability theoretical speech richer induction original form inductive empirical organic
#9	0.111	using subjects results study experiment did conducted task time used experienced use preference experimental presented decision-making empirical significantly effects better
#90	0.064	development life cycle prototyping new stages routines stage design experiences traditional time sdlc suggested strategies rapid effort integrated needs techniques