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  • Conference proceedings
  • © 1993

Conceptual Graphs for Knowledge Representation

First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings

Editors:

  1. Guy W. Mineau
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  2. Bernard Moulin
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  3. John F. Sowa
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 699)

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

Conference series link(s): ICCS: International Conference on Conceptual Structures

Conference proceedings info: ICCS 1993.

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Table of contents (24 papers)

  1. Front Matter

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  2. Relating diagrams to logic

    • John F. Sowa
    Pages 1-35

  4. Heterogeneous reasoning

    • Jon Barwise
    Pages 64-74

  5. A comparison between conceptual graphs and KL-ONE

    • Brigitte Biébow, Guy Chaty
    Pages 75-89

  7. Implementing conceptual graphs in a RDBMS

    • Brian Bowen, Pavel Kocura
    Pages 106-125

  8. A conceptual graphs approach to conceptual schema integration

    • Peter Creasy, Gerard Ellis
    Pages 126-141

  9. Conceptual graphs for relational Databases

    • Claude Boksenbaum, Boris Carbonneill, Ollivier Haemmerlé, Thérèse Libourel
    Pages 142-161

  10. Inducing a CG representation for basic-level categorization of verbs

    • Roberto Basili, Maria Teresa Pazienza
    Pages 162-181

  13. Executable conceptual structures

    • Dickson Lukose
    Pages 223-237

  14. Inverting resolution with conceptual graphs

    • Maurice Pagnucco, Norman Foo
    Pages 238-253

  15. Towards domain-independent machine intelligence

    • Robert Levinson
    Pages 254-273

  19. Acquiring temporal knowledge from schedules

    • Walling Cyre
    Pages 328-344

  20. Conceptual structures for modeling in CIM

    • Michel Wermelinger, Alex Bejan
    Pages 345-360
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About this book

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.
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Keywords

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Bibliographic Information

  • Book Title: Conceptual Graphs for Knowledge Representation

  • Book Subtitle: First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings

  • Editors: Guy W. Mineau, Bernard Moulin, John F. Sowa

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-56979-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1993

  • Softcover ISBN: 978-3-540-56979-4Published: 14 July 1993

  • eBook ISBN: 978-3-540-47848-5Published: 29 June 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 458

  • Topics: Artificial Intelligence, Combinatorics, Database Management

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Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

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