Methodological Foundations of KEATS the Knowledge Engineer’s Assistant

Motta, Enrico; Rajan, Tim; Domingue, John and Eisenstadt, Marc (1991). Methodological Foundations of KEATS the Knowledge Engineer’s Assistant. Knowledge Acquisition, 3(1) pp. 21–47.

DOI: https://doi.org/10.1016/S1042-8143(05)80003-2

Abstract

The numerous tasks required by the knowledge engineering process and their inherent complexity combine to make building knowledge-based systems both a time consuming and arduous activity. The key to reducing the complexity of the problem is to provide a methodological framework which can clarify the nature of the intermediate steps required to encode effectively knowledge into a performance system. Such a framework can then be used to drive the design of a comprehensive knowledge engineering toolkit. This is the approach we adopted in the KEATS project. In this paper, we provide an overview of the KEATS knowledge engineering methodology, which is based on a view of knowledge engineering as iterative refinement of qualitatively and teleologically different models, and we show how these ideas have driven the design of the KEATS toolkit.

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