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Integrated knowledge acquisition architectures

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Abstract

An architecture for knowledge acquisition systems is proposed based upon the integration of existing methodologies, techniques and tools which have been developed within the knowledge acquisition, machine learning, expert systems, hypermedia and knowledge representation research communities. Existing tools are analyzed within a common framework to show that their integration can be achieved in a natural and principled fashion. A system design is synthesized from what already exists, putting a diversity of well-founded and widely used approaches to knowledge acquisition within an integrative framework. The design is intended to be clean and simple, easy to understand, and easy to implement. A detailed architecture for integrated knowledge acquisition systems is proposed that also derives from parallel cognitive and theoretical studies.

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Authors and Affiliations

  1. Knowledge Science Institute, University of Calgary, T2N 1N4, Calgary, Alberta, Canada

    Brian R. Gaines & Mildred L. G. Shaw

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  1. Brian R. Gaines
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  2. Mildred L. G. Shaw
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Gaines, B.R., Shaw, M.L.G. Integrated knowledge acquisition architectures. J Intell Inf Syst 1, 9–34 (1992). https://doi.org/10.1007/BF01006412

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