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Some aspects of knowledge engineering

  • Part 6: Second Generation Expert Systems and Knowledge Engineering
  • Conference paper
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Advanced Topics in Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 617))

Abstract

Knowledge engineering is a part of Artificial Intelligence which includes all activities connected with the transfer of knowledge from knowledge sources (experts, data files etc.) into knowledge-based systems. It was recognized as a bottleneck of current systems applications (“Feigenbaum's bottleneck”). This contribution deals with three aspects of knowledge engineering: It provides a brief overview of the knowledge acquisition methods and contains the discussion on the significance of the object-orientation paradigm for knowledge structuring and integration. The attention is focused on mutual impacts of software and knowledge engineering.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, Czech Technical University, Technická 2, 166 27, Prague 6, ČSFR

    Vladimír Mřrík & Tomáš Vlček

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  1. Vladimír Mřrík
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  2. Tomáš Vlček
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Vladimír Mřrík Olga Štěpánková Rorbert Trappl

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© 1992 Springer-Verlag Berlin Heidelberg

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Mřrík, V., Vlček, T. (1992). Some aspects of knowledge engineering. In: Mřrík, V., Štěpánková, O., Trappl, R. (eds) Advanced Topics in Artificial Intelligence. Lecture Notes in Computer Science, vol 617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55681-8_43

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  • DOI: https://doi.org/10.1007/3-540-55681-8_43

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  • Print ISBN: 978-3-540-55681-7

  • Online ISBN: 978-3-540-47271-1

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