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Conceptual Graphs for Knowledge Representation

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

  • Conference proceedings
  • © 1993

Overview

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)

Included in the following conference series:

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
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  3. Representation, discourse, logic and truth: Situating knowledge technology

    • Brian R Gaines
    Pages 36-63
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  4. Heterogeneous reasoning

    • Jon Barwise
    Pages 64-74
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  5. A comparison between conceptual graphs and KL-ONE

    • Brigitte Biébow, Guy Chaty
    Pages 75-89
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  6. The term definition operators of ontolingua and of the conceptual graph formalism: a comparison

    • Guy W. Mineau
    Pages 90-105
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  7. Implementing conceptual graphs in a RDBMS

    • Brian Bowen, Pavel Kocura
    Pages 106-125
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  8. A conceptual graphs approach to conceptual schema integration

    • Peter Creasy, Gerard Ellis
    Pages 126-141
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  9. Conceptual graphs for relational Databases

    • Claude Boksenbaum, Boris Carbonneill, Ollivier Haemmerlé, Thérèse Libourel
    Pages 142-161
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  10. Inducing a CG representation for basic-level categorization of verbs

    • Roberto Basili, Maria Teresa Pazienza
    Pages 162-181
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  11. The representation of linguistic information in an approach used for modelling temporal knowledge in discourses

    • Bernard Moulin
    Pages 182-204
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  12. Representing natural language causality in Conceptual Graphs: The Higher order conceptual relation problem

    • Adeline Nazarenko
    Pages 205-222
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  13. Executable conceptual structures

    • Dickson Lukose
    Pages 223-237
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  14. Inverting resolution with conceptual graphs

    • Maurice Pagnucco, Norman Foo
    Pages 238-253
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  15. Towards domain-independent machine intelligence

    • Robert Levinson
    Pages 254-273
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  16. Efficient retrieval from hierarchies of objects using lattice operations

    • Gerard Ellis
    Pages 274-293
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  17. Characterization and algorithmic recognition of canonical conceptual graphs

    • M. L. Mugnier, M. Chein
    Pages 294-311
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  18. A conceptual semantics ontology for conceptual graphs

    • M. Willems
    Pages 312-327
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  19. Acquiring temporal knowledge from schedules

    • Walling Cyre
    Pages 328-344
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  20. Conceptual structures for modeling in CIM

    • Michel Wermelinger, Alex Bejan
    Pages 345-360
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  1. Conceptual Graphs for Knowledge Representation

Keywords

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.

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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