Knowledge acquisition as a process of model refinement
Knowledge AcquisitionPublished 1 March 1990
Enrico Motta, Tim Rajan, Marc Eisenstadt
Citations44
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TL;DR
This paper describes knowledge acquisition as the composition of knowledge elicitation, data analysis and domain conceptualization and emphasizes that a knowledge engineering tool has to support these activities as well as bridging the gap between acquiring the data and implementing the final system.
Abstract
The strengths and weaknesses of our earlier system, KEATS-1, have led us to embark upon the design and implementation of a new knowledge engineering environment, KEATS-2, which provides a novel, integrated framework for performing both bottom-up and top-down knowledge acquisition. In this paper we discuss the nature of the knowledge acquisition activities and we introduce the support tools embedded in KEATS-2. We characterize knowledge acquisition as the composition of knowledge elicitation, data analysis and domain conceptualization and we emphasize that a knowledge engineering tool has to support these activities as well as bridging the gap between acquiring the data and implementing the final system.
Keywords
Computer Science
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