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Conceptual Structures: Theory and Implementation

7th Annual Workshop, Las Cruces, NM, USA, July 8-10, 1992. Proceedings

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Heather D. Pfeiffer
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  2. Timothy E. Nagle
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 754)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (27 papers)

  1. Front Matter

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  2. The scope of coreference in conceptual graphs

    • John W. Esch
    Pages 1-12

  3. Using world structures for factoring knowledge

    • Bernard Moulin, Guy W. Mineau
    Pages 13-33

  4. Sharing knowledge: Starting with the integration of vocabularies

    • Guy William Mineau
    Pages 34-45

  5. A conceptual graphs approach to information systems design

    • Linda Campbell, Peter Creasy
    Pages 46-55

  6. Representing knowledge about substances

    • William M. Tepfenhart
    Pages 57-71

  7. Representing temporal knowledge in discourse: an approach extending the conceptual graph theory

    • Bernard Moulin
    Pages 72-95

  8. Towards a semantics of inchoative and causation events in conceptual graphs

    • Pavel Kocura
    Pages 96-112

  9. Does every difference make difference?

    • Jonathan C. Oh, Steven Graham
    Pages 113-118

  10. An exploration into semantic distance

    • Harry S. Delugach
    Pages 119-124

  11. A reconstruction of conceptual graphs on top of a production system

    • Jacques Bouaud, Pierre Zweigenbaum
    Pages 125-136

  12. On uncertainty handling in plausible reasoning with conceptual graphs

    • Sung H. Myaeng, Christopher Khoo
    Pages 137-147

  13. Expert humans and expert systems: Toward a unity of uncertain reasoning

    • Weldon Whipple
    Pages 148-157

  14. Knowledge fusion

    • Brian John Garner, Dickson Lukose
    Pages 158-167

  15. Using conceptual structures to translate data models: Concepts, context and cognitive processes

    • Gary Berg-Cross, John Hanna
    Pages 169-187

  16. Towards deductive object-oriented databases based on conceptual graphs

    • Vilas Wuwongse, Bikash C. Ghosh
    Pages 188-205

  17. AERIE: Database inference modeling and detection using conceptual graphs

    • Harry S. Delugach, Thomas H. Hinke
    Pages 206-215

  18. The birth of PEIRCE: A conceptual graphs workbench

    • Gerard Ellis, Robert Levinson
    Pages 217-228

  19. Specialization: Where do the difficulties occur?

    • M. Chein, M. L. Mugnier
    Pages 229-238

  20. Polynomial algorithms for projection and matching

    • M. L. Mugnier, M. Chein
    Pages 239-251
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About this book

This volume contains revised and expanded versions of papers presented at the Seventh Annual Workshop on Conceptual Graphs, held at New Mexico State University in Las Cruces, and sponsored by the American Association for Artificial Intelligence and the NMSU Computer Science Department. The contents of the volume fall in the areas of representation issues, reasoning, data modeling and databases, algorithms and tools, and applications and natural language. One of the highlights reported in the volume is the landmark meeting of the first PEIRCE Project Workshop. The PEIRCE Project aims to build a state-of-the-art, industrial strength conceptual graphs workbench.

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