6. EKAW 1992: Heidelberg and Kaiserslautern, Germany

Technology Transfer

• Francois Allard:
  A User's View of Current Practice and Possibilities. 1-5
  
• Jonathan Killin:
  The Management and Maintenance of an Operational KADS System Development. 6
  
• Mari Georges:
  Knowledge Engineering Trends in Europe. 7-8
  
• Katharina Morik:
  Applications of Machine Learning. 9-13
  

General Modelling Approaches

• Henrik Eriksson, Mark A. Musen:
  Conceptual Models for Automatic Generation of Knowledge-Acquisition Tools. 14-36
  
• C. Greboval, Gilles Kassel:
  An Approach to Operationalize Conceptual Models: The Shell Aide. 37-54
  
• Marc Linster:
  Linking Modeling to Make Sense and Modeling to Implement Systems in an Operational Modeling Environment. 55-74
  
• Ute Gappa, Karsten Poeck:
  Common Ground and Differences of the KADS and Strong-Problem-Solving-Shell Approach. 75-94
  
• Guus Schreiber, Bob J. Wielinga, Hans Akkermans:
  Differentiating Problem Solving Methods. 95-111
  
• Gertjan van Heijst, Peter Terpstra, Bob J. Wielinga, Nigel Shadbolt:
  Using Generalised Directive Models in Knowledge Acquisition. 112-132
  
• Pieter Geelen, Zsófia Ruttkay, Jan Treur:
  Towards a Formal Framework to Compare Protocol Interpretations and Task Specifications. 133-152
  

Knowledge Formalization and Automated Methods

• Katsushiko Tsujino, Vlad G. Dabija, Shogo Nishida:
  Knowledge Acquisition Driven by Constructive and Interactive Induction. 153-170
  
• Claire Nedellec, Karine Causse:
  Knowledge Refinement Using Knowledge Acquisition and Machine Learning Methods. 171-190
  
• Johann Schweiger:
  Generating Configuration Expert Systems from Conceptual Specifications of the Expert Knowledge. 191-210
  
• Willem Jonker, Jan Willem Spee:
  Yet Another Formalisation of KADS Conceptual Models. 211-229
  
• Susanne Neubert, Rudi Studer:
  The KEEP Model, a Knowledge Engineering Process Model. 230-249
  

Elicitation and Diagnosis of Human Knowledge

• Hyacinth S. Nwana, Ray Paton, Michael J. R. Shave, Trevor J. M. Bench-Capon:
  Domain-Driven Knowledge Modelling: Mediating and Intermediate Representations for Knowledge Acquisition. 250-263
  
• M.-M. Portman, Steve M. Easterbrook:
  PMI: Knowledge Eliciation and De Bono's Thinking Tools. 264-282
  
• Oleg I. Larichev:
  A New Approach to the Solution of Expert Classification Problems. 283-297
  
• Rose Dieng, Alain Giboin, Paul-André Tourtier, Olivier Corby:
  Knowledge Acquisition for Explainable, Multi-Expert, Knowledge-Based Design Systems. 298-317
  
• Jean Charlet, Jean-Paul Krivine, Chantal Reynaud:
  Causal Model-Based Knowledge Acquisition Tools: Discussion of Experiments. 318-336
  

Practice and Experiences of Knowledge Acquisition

• Frank Maurer:
  Knowledge Base Maintenance and Consistency Checking in MOLTKE/HyDi. 337-352
  
• Dean Allemang, Thomas E. Rothenfluh:
  Acquiring Knowledge of Knowledge Acquisition: A Self-Study of Generic Tasks. 353-372
  
• David Porter:
  Reusable Analysis and Design Components for Knowledge-Based System Development. 373-391
  
• Michel Manago, Noël Conruyt, Jacques le Renard:
  Acquiring Descriptive Knowledge for Classification and Identification. 392-405
  
• Franz Schmalhofer, Thomas Reinartz, Bidjan Tschaitschian:
  Intelligent Documentation as a Catalyst for Developing Cooperative Knowledge-Based Systems. 406-424
  
• Jeffrey Bradshaw, Peter Holm, Oscar Kipersztok, Thomas Nguyen:
  eQuality: An Application of DDucks to Process Management. 425-444
  

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