Graph Structures for Knowledge Representation and Reasoning 5th
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
- PDF / 13,191,571 Bytes
- 145 Pages / 439.37 x 666.142 pts Page_size
- 48 Downloads / 202 Views
Madalina Croitoru · Pierre Marquis Sebastian Rudolph · Gem Stapleton (Eds.)
Graph Structures for Knowledge Representation and Reasoning 5th International Workshop, GKR 2017 Melbourne, VIC, Australia, August 21, 2017 Revised Selected Papers
123
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
10775
More information about this series at http://www.springer.com/series/1244
Madalina Croitoru Pierre Marquis Sebastian Rudolph Gem Stapleton (Eds.) •
•
Graph Structures for Knowledge Representation and Reasoning 5th International Workshop, GKR 2017 Melbourne, VIC, Australia, August 21, 2017 Revised Selected Papers
123
Editors Madalina Croitoru LIRMM Montpellier Cedex 5 France
Sebastian Rudolph Technische Universität Dresden Dresden Germany
Pierre Marquis CRIL-CNRS and Université d’Artois Lens France
Gem Stapleton University of Brighton Brighton UK
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-78101-3 ISBN 978-3-319-78102-0 (eBook) https://doi.org/10.1007/978-3-319-78102-0 Library of Congress Control Number: 2018937369 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Versatile and effective techniques for knowledge representation and reasoni
Data Loading...
