Advertisement

Graph Structures for Knowledge Representation and Reasoning

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

  • Madalina Croitoru
  • Pierre Marquis
  • Sebastian Rudolph
  • Gem Stapleton
Conference proceedings GKR 2017

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10775)

Table of contents

  1. Front Matter
    Pages I-VII
  2. Extended Workshop Papers

    1. Front Matter
      Pages 1-1
    2. Dave Braines, Anna Thomas, Lance Kaplan, Murat Şensoy, Jonathan Z. Bakdash, Magdalena Ivanovska et al.
      Pages 29-53
    3. Shaun Voigt, Catherine Howard, Dean Philp, Christopher Penny
      Pages 73-83
  3. Invited Contributions

    1. Front Matter
      Pages 97-97
    2. Gem Stapleton, Aidan Delaney, Michael Compton, Peter Chapman
      Pages 99-117
    3. Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert
      Pages 118-138
  4. Back Matter
    Pages 139-139

About these proceedings

Introduction

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.

Keywords

Knowledge representation and reasoning Graph theory Reasoning about belief and knowledge Probabilistic reasoning Ontology engineering Theorem proving and SAT solving Decision support systems Probability and statistics Probabilistic representations Bayesian networks Hypergraphs Recommender systems Semantic web description languages Web Ontology Language (OWL) Multi-agent learning Knowledge based systems formal logic Semantics

Editors and affiliations

  • Madalina Croitoru
    • 1
  • Pierre Marquis
    • 2
  • Sebastian Rudolph
    • 3
  • Gem Stapleton
    • 4
  1. 1.LIRMMMontpellier Cedex 5France
  2. 2.CRIL-CNRS and Université d’ArtoisLensFrance
  3. 3.Technische Universität DresdenDresdenGermany
  4. 4.University of BrightonBrightonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-78102-0
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-78101-3
  • Online ISBN 978-3-319-78102-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Engineering