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Conceptual models for automatic generation of knowledge-acquisition tools

Published online by Cambridge University Press:  07 July 2009

Henrik Eriksson
Affiliation:
Medical Computer Science Group, Knowledge Systems Laboratory, Stanford University School of Medicine, Stanford, CA 94305-5479, USA
Mark A. Musen
Affiliation:
Medical Computer Science Group, Knowledge Systems Laboratory, Stanford University School of Medicine, Stanford, CA 94305-5479, USA

Abstract

Interactive knowledge-acquisition (KA) programs allow users to enter relevant domain knowledge according to a model predefined by the tool developers. KA tools are designed to provide conceptual models of the knowledge to their users. Many different classes of models are possible, resulting in different categories of tools. Whenever it is possible to describe KA tools according to explicit conceptual models, it is also possible to edit the models and to instantiate new KA tools automatically for specialized purposes. Several meta-tools that address this task have been implemented. Meta-tools provide developers of domain-specific KA tools with generic design models, or meta-views, of the emerging KA tools. The same KA tool can be specified according to several alternative meta-views.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1993

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