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Graph Structures for Knowledge Representation and Reasoning

5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Madalina Croitoru

    1. LIRMM, Montpellier Cedex 5, France

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  2. Pierre Marquis

    1. CRIL-CNRS and Université d’Artois, Lens, France

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  3. Sebastian Rudolph

    1. Technische Universität Dresden, Dresden, Germany

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  4. Gem Stapleton

    1. University of Brighton, Brighton, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10775)

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

Included in the following conference series:

Conference proceedings info: GKR 2017.

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Table of contents (7 papers)

  1. Front Matter

    Pages I-VII
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  2. Extended Workshop Papers

    1. Front Matter

      Pages 1-1
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    2. Exploring, Reasoning with and Validating Directed Graphs by Applying Formal Concept Analysis to Conceptual Graphs

      • Simon Andrews, Simon Polovina
      Pages 3-28

    3. Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding

      • Dave Braines, Anna Thomas, Lance Kaplan, Murat Şensoy, Jonathan Z. Bakdash, Magdalena Ivanovska et al.
      Pages 29-53

    4. Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm

      • Tanya Braun, Ralf Möller
      Pages 54-72

    5. Representing and Reasoning About Logical Network Topologies

      • Shaun Voigt, Catherine Howard, Dean Philp, Christopher Penny
      Pages 73-83

    6. From Enterprise Concepts to Formal Concepts: A University Case Study

      • Jamie Caine, Simon Polovina
      Pages 84-96

  3. Invited Contributions

    1. Front Matter

      Pages 97-97
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    2. Visualizing \(\mathcal {ALC}\) Using Concept Diagrams

      • Gem Stapleton, Aidan Delaney, Michael Compton, Peter Chapman
      Pages 99-117

    3. Graph Theoretical Properties of Logic Based Argumentation Frameworks: Proofs and General Results

      • Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert
      Pages 118-138

  4. Back Matter

    Pages 139-139
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  1. Graph Structures for Knowledge Representation and Reasoning

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2017, held in Melbourne, VIC, Australia, in August 2017, associated with IJCAI 2017, the 26th International Joint Conference on Artificial Intelligence. The 7 revised full papers presented were reviewed and selected from 9 submissions. The contributions  address various issues for knowledge representation and reasoning and the common graph-theoretic background allows to bridge the gap between the different communities.

Editors and Affiliations

  • LIRMM, Montpellier Cedex 5, France

    Madalina Croitoru

  • CRIL-CNRS and Université d’Artois, Lens, France

    Pierre Marquis

  • Technische Universität Dresden, Dresden, Germany

    Sebastian Rudolph

  • University of Brighton, Brighton, United Kingdom

    Gem Stapleton

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