Current Developments in Knowledge Acquisition - EKAW'92

1. Front Matter

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2. A user's view of current practice and possibilities

   • Francois Allard

   Pages 1-5

3. The management and maintenance of an operational KADS system development

   • Jonathan Killin

   Pages 6-6

4. Knowledge engineering trends in Europe

   • Mari Georges

   Pages 7-8

5. Applications of machine learning

   • Katharina Morik

   Pages 9-13

6. Conceptual models for automatic generation of knowledge-acquisition tools

   • Henrik Eriksson, Mark A. Musen

   Pages 14-36

7. An approach to operationalize conceptual models: The shell AIDE

   • C. Greboval, G. Kassel

   Pages 37-54

8. Linking modeling to make sense and modeling to implement systems in an operational modeling environment

   • Marc Linster

   Pages 55-74

9. Common ground and differences of the KADS and strong-problem-solving-shell approach

   • Ute Gappa, Karsten Poeck

   Pages 75-94

10. Differentiating problem solving methods

    • Guus Schreiber, Bob Wielinga, Hans Akkermans

    Pages 95-111

11. Using generalised directive models in knowledge acquisition

    • Gertjan van Heijst, Peter Terpstra, Bob Wielinga, Nigel Shadbolt

    Pages 112-132

12. Towards a formal framework to compare protocol interpretations and task specifications

    • Pieter Geelen, Zsófia Ruttkay, Jan Treur

    Pages 133-152

13. Knowledge acquisition driven by constructive and interactive induction

    • Katsuhiko Tsujino, Vlad G. Dabija, Shogo Nishida

    Pages 153-170

14. Knowledge refinement using Knowledge Acquisition and Machine Learning Methods

    • Claire Nedellec, Karine Causse

    Pages 171-190

15. Generating configuration expert systems from conceptual specifications of the expert knowledge

    • J. Schweiger

    Pages 191-210

16. Yet another formalisation of KADS conceptual models

    • Willem Jonker, Jan Willem Spee

    Pages 211-229

17. The KEEP model, a knowledge engineering process model

    • Susanne Neubert, Rudi Studer

    Pages 230-249

18. Domain-driven knowledge modelling: Mediating & intermediate representations for knowledge acquisition

    • Hyacinth S. Nwana, Ray C. Paton, Michael J. R. Shave, Trevor J. M. Bench-Capon

    Pages 250-263

19. PMI: Knowledge elicitation and De Bono's thinking tools

    • M. -M. Portmann, S. M. Easterbrook

    Pages 264-282

20. A new approach to the solution of expert classification problems

    • Oleg I. Larichev

    Pages 283-297

Methodological knowledge acquisition and knowledge engineering have achievedincreasing attention in recent years due both to active research projects and to successful practical applications. Both aspects have over the years been reflected in the structure of the European Knowledge Acquisition Workshops (EKAW), where a users' forum has always been combined with a scientific workshop. This volume contains the proceedings of EKAW-92. The papers are organized into five thematic sectionson: - Technology transfer - General modelling approaches - Knowledgeformalization and automated methods - Elicitation and diagnosis of human knowledge - Practice and experiences of knowledge acquisition. A total of 65 persons from around the world served as the program committee. Their recommendations and sometimes very detailed comments helped both workshop organizers and individual authors to achieve the high quality reflected in this volume.

• Knowledge Acquisition
• Knowledge Bases
• Knowledge Representation
• Learning
• Lernen
• Problem solving
• Wissensakquisition
• Wissensbanken
• knowledge
• knowledge engineering
• modeling

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