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Table of contents

  1. Front Matter
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  2. CML: The commonKADS conceptual modelling language
    Guus Schreiber, Bob Wielinga, Hans Akkermans, Walter Van de Velde, Anjo Anjewierden
    Pages 1-25
  3. Evaluating a formal modelling language
    Fidel Ruiz, Frank van Harmelen, Manfred Aben, Joke van de Plassche
    Pages 26-45
  4. A comparison of two approaches to model-based knowledge acquisition
    Dieter Fensel, Karsten Poeck
    Pages 46-62
  5. Agent-based knowledge acquisition
    Rose Dieng, Olivier Corby, Sofiane Labidi
    Pages 63-82
  6. Beyond the knowledge level: Descriptions of rational behavior for sharing and reuse
    Franz Schmalhofer, J. Stuart Aitken, Lyle E. Bourne Jr.
    Pages 83-103
  7. Local patching produces compact knowledge bases
    P. Compton, P. Preston, B. Kang, T. Yip
    Pages 104-117
  8. Components of problem solving and types of problems
    Joost Breuker
    Pages 118-136
  9. On a role of problem solving methods in knowledge acquisition
    Richard Benjamins
    Pages 137-157
  10. Modeling plan recognition for decision support
    Dolores Cañamero
    Pages 158-177
  11. CUE: Ontology based knowledge acquisition
    Gertjan van Heijst, Guus Schreiber
    Pages 178-199
  12. KARO: An integrated environment for reusing ontologies
    Thomas Pirlein, Rudi Studer
    Pages 200-225
  13. From verification to modelling guidelines
    Sabine Geldof, Aurelien Slodzian
    Pages 226-243
  14. AFORIZM approach: Creating situations to facilitate expertise transfer
    Gennady L. Andrienko, Nathalia V. Andrienko
    Pages 244-261
  15. How to combine data abstraction and model refinement: A methodological contribution in MACAO
    Aussenac-Gilles Nathalie
    Pages 262-282
  16. User centered knowledge-based system design: a formal modelling approach
    F. M. T. Brazier, J. Treur
    Pages 283-302
  17. Validating at early stages with a causal simulation tool
    Paul-André Tourtier, Stéphane Boyera
    Pages 303-317
  18. The SBF framework, 1989–1994: From applications to workplaces
    Gregg R. Yost, Georg Klinker, Marc Linster, David Marques, John McDermott
    Pages 318-339
  19. Applying the REKAP methodology to situation assessment
    Nigel Major, James Cupit, Nigel Shadbolt
    Pages 340-354
  20. Integration of learning into a knowledge modelling framework
    Josep Lluís Arcos, Enric Plaza
    Pages 355-373

About these proceedings

Introduction

This volume comprises a selection of the key papers presented at the Eighth European Knowledge Acquisition Workshop (EKAW '94), held in Hoegaarden, Belgium in September 1994.
The book demonstrates that work in the mainstream of knowledge acquisition leads to useful practical results and puts the knowledge acquisition enterprise in a broader theoretical and technological context. The 21 revised full papers are carefully selected key contributions; they address knowledge modelling frameworks, the identification of generic components, methodology aspects, and architectures and applications. The volume opens with a substantial preface by the volume editors surveying the contents.

Keywords

Knowledge Acquisition Knowledge Bases Knowledge Modeling Lernen Problem Solving Problemlösungsstrategien Wissensakquisition Wissensbanken Wissensmodellierung cognition knowledge base knowledge-based system learning ontology verification

Bibliographic information

  • Book Title A Future for Knowledge Acquisition
  • Book Subtitle 8th European Knowledge Acquisition Workshop, EKAW '94 Hoegaarden, Belgium, September 26–29, 1994 Proceedings
  • Editors Luc Steels
    Guus Schreiber
    Walter Van de Velde
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect Notes Comput Sci
  • DOI https://doi.org/10.1007/3-540-58487-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-58487-2
  • eBook ISBN 978-3-540-49006-7
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XII, 424
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
  • Buy this book on publisher's site