Table of contents

  1. Front Matter
  2. Dieter Hovekamp, Michael Sandfuchs
    Pages 62-86
  3. Thomas Ludwig, Bernd Walter
    Pages 87-103
  4. Nelson Mattos
    Pages 127-152
  5. John Mylopoulos, Michael Brodie
    Pages 153-180
  6. Bernhard Nebel, Christof Peltason
    Pages 181-212
  7. Angi Voß
    Pages 256-272
  8. Helmut Thoma
    Pages 273-273

About these proceedings

Introduction

Knowledge-based systems have been successfully developed in practice for a number of years. However, they are often "only" stand-alone systems; integrating them into existing information environments, e.g. making available real production data to an expert system, often either fails or is only solved in a dissatisfying way. Possible reasons for this might be on one hand the lack of know-how about the different features of various experimental AI techniques, and on the other the lack of more classical information and database system technology. The special interest groups "Knowledge Representation" and "Methods for the Development of Information Sys- tems and their Application" of the German Informatics Society (GI) organized a joint workshop in Ulm in March 1990 to discuss the integration of Artificial Intelligence and database technology. This volume contains the proceedings of the workshop.

Keywords

Datenbank Datenmodellierung Information Information systems Knowledge representation Künstliche Intelligenz Wissensrepräsentation artificial intelligence data modeling expert system knowledge knowledge base knowledge-based system logic programming modeling

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-53557-8
  • Copyright Information Springer-Verlag 1991
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-53557-7
  • Online ISBN 978-3-540-46809-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book