Current developments in knowledge acquisition : EKAW'92 : 6th European Knowledge Acquisition Workshop, Heidelberg and Kaiserslautern, Germany, May 18-22, 1992 : proceedings

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 Works...

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Dettagli Bibliografici
Autore principale: Wetter, Thomas, 1953-
Ente Autore: European knowledge acquisition workshop (Autore)
Altri autori: Althoff, Klaus-Dieter, 1957- (Direttore editoriale), Boose, John H. (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serie:Lecture notes in computer science. Lecture notes in artificial intelligence 599
Soggetti:
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Current developments in knowledge acquisition, EKAW'92, 6th European Knowledge Acquisition Workshop, Heidelberg and Kaiserslautern, Germany, May 18-22, 1992, proceedings, Th. Wetter .. [et al.] (eds), Berlin, Springer, 1992, 1 vol. (XIII-444 p.), Lecture notes in computer science, 3-540-55546-3
• Current Developments in Knowledge Acquisition - EKAW'92, Texte imprimé, 9783662203170
Sommario:
  • 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.