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Table of contents

  1. Front Matter
  2. John F. Sowa
    Pages 1-35
  3. Jon Barwise
    Pages 64-74
  4. Brigitte Biébow, Guy Chaty
    Pages 75-89
  5. Brian Bowen, Pavel Kocura
    Pages 106-125
  6. Peter Creasy, Gerard Ellis
    Pages 126-141
  7. Claude Boksenbaum, Boris Carbonneill, Ollivier Haemmerlé, Thérèse Libourel
    Pages 142-161
  8. Roberto Basili, Maria Teresa Pazienza
    Pages 162-181
  9. Dickson Lukose
    Pages 223-237
  10. Maurice Pagnucco, Norman Foo
    Pages 238-253
  11. Robert Levinson
    Pages 254-273
  12. Walling Cyre
    Pages 328-344
  13. Michel Wermelinger, Alex Bejan
    Pages 345-360
  14. Esma Aïmeur, Jean Gabriel Ganascia
    Pages 361-380
  15. Harmen van den Berg
    Pages 411-429
  16. Vilas Wuwongse, Mario Manzano
    Pages 430-449
  17. Back Matter

About these proceedings

Introduction

Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.

Keywords

Extension Frames Graph artificial intelligence intelligence knowledge knowledge representation knowledge-based system knowledge-based systems learning machine learning modeling

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-56979-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-56979-4
  • Online ISBN 978-3-540-47848-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site