Current Developments in Knowledge Acquisition - EKAW'92 de Thomas Wetter

Current Developments in Knowledge Acquisition - EKAW'92

Thomas Wetter

Klaus-Dieter Althoff

John Boose

Brian R. Gaines

Marc Linster

Franz Schmalhofer

en Limba Engleză Paperback – 11 mai 1992

Methodological knowledge acquisition and knowledgeengineering have achievedincreasing attention in recentyears due both to active research projects and to successfulpractical applications. Both aspects have over the yearsbeen reflected in the structure of the European KnowledgeAcquisition Workshops (EKAW), where a users' forum hasalways been combined with a scientific workshop.This volume contains the proceedings of EKAW-92. The papersare 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 theprogram committee. Their recommendations and sometimes verydetailed comments helped both workshop organizers andindividual authors to achieve the high quality reflected inthis volume.

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Cuprins

A user's view of current practice and possibilities.- The management and maintenance of an operational KADS system development.- Knowledge engineering trends in Europe.- Applications of machine learning.- Conceptual models for automatic generation of knowledge-acquisition tools.- An approach to operationalize conceptual models: The shell AIDE.- Linking modeling to make sense and modeling to implement systems in an operational modeling environment.- Common ground and differences of the KADS and strong-problem-solving-shell approach.- Differentiating problem solving methods.- Using generalised directive models in knowledge acquisition.- Towards a formal framework to compare protocol interpretations and task specifications.- Knowledge acquisition driven by constructive and interactive induction.- Knowledge refinement using Knowledge Acquisition and Machine Learning Methods.- Generating configuration expert systems from conceptual specifications of the expert knowledge.- Yet another formalisation of KADS conceptual models.- The KEEP model, a knowledge engineering process model.- Domain-driven knowledge modelling: Mediating & intermediate representations for knowledge acquisition.- PMI: Knowledge elicitation and De Bono's thinking tools.- A new approach to the solution of expert classification problems.- Knowledge acquisition for explainable, multi-expert, knowledge-based design systems.- Causal model-based knowledge acquisition tools: Discussion of experiments.- Knowledge base maintenance and consistency checking in MOLTKE/HyDi.- Acquiring knowledge of knowledge acquisition: A self-study of generic tasks.- Reusable analysis and design components for knowledge-based system development.- Acquiring descriptive knowledge for classification and identification.- Intelligent documentation as a catalyst for developing cooperative knowledge-based systems.- eQuality: An application of DDUCKS to process management.