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CUE: Ontology based knowledge acquisition

  • Conference paper
  • First Online:
A Future for Knowledge Acquisition (EKAW 1994)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 867))

Abstract

This paper presents Cue, a knowledge engineering workbench that supports the development of knowledge based systems according to the GAMES methodology, which is also briefly described. Cue contains tools that support the three steps involved in model based knowledge acquisition: model construction, model instantiation and model refinement. Two of the tools that are part of the workbench are described in detail. The first of these, Quote, is an editor for the definitions of ontologies. The second, Quake, exploits the ontologies defined with Quote to elicit domain knowledge in a focused way. In the context of Quake an analysis of possible knowledge elicitation strategies is presented. Finally, the strengths and weaknesses of Cue are discussed and the system is compared with other knowledge acquisition environments.

The research reported here was carried out in the course of the GAMES-II project. This project is partially funded by the AIM Programme of the Commission of the European Communities as project number A2034. The partners in this project are SAGO (Florence, Italy), Foundation of Research and Technology (Crete, Greece), Geneva University Hospital (Switzerland), the University of Amsterdam (The Netherlands), University College of London (UK), the University of Pavia (Italy) and the University of Ulm (Germany). This paper reflects the opinions of the authors and not necessarily those of the consortium.

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Authors and Affiliations

  1. Department of Social Science Informatics, University of Amsterdam, Roetersstraat 15, NL-1018, WB, Amsterdam

    Gertjan van Heijst & Guus Schreiber

Authors
  1. Gertjan van Heijst
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  2. Guus Schreiber
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Luc Steels Guus Schreiber Walter Van de Velde

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© 1994 Springer-Verlag Berlin Heidelberg

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van Heijst, G., Schreiber, G. (1994). CUE: Ontology based knowledge acquisition. In: Steels, L., Schreiber, G., Van de Velde, W. (eds) A Future for Knowledge Acquisition. EKAW 1994. Lecture Notes in Computer Science, vol 867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58487-0_10

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  • DOI: https://doi.org/10.1007/3-540-58487-0_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58487-2

  • Online ISBN: 978-3-540-49006-7

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