Scalable Uncertainty Management 9th International Conference, SUM 20
This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selec
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Christoph Beierle · Alex Dekhtyar (Eds.)
Scalable Uncertainty Management 9th International Conference, SUM 2015 Québec City, QC, Canada, September 16–18, 2015 Proceedings
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
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More information about this series at http://www.springer.com/series/1244
Christoph Beierle Alex Dekhtyar (Eds.) •
Scalable Uncertainty Management 9th International Conference, SUM 2015 Québec City, QC, Canada, September 16–18, 2015 Proceedings
123
Editors Christoph Beierle Fakultät für Mathematik und Informatik FernUniversität in Hagen Hagen Germany
Alex Dekhtyar California Polytechnic State University San Luis Obispo USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-23539-4 ISBN 978-3-319-23540-0 (eBook) DOI 10.1007/978-3-319-23540-0 Library of Congress Control Number: 2015947418 LNCS Sublibrary: SL7 – Artificial Intelligence Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
The International Conference on Scalable Uncertainty Management (SUM) is an annual conference that was launched in 2007 with the goal of exploiting and strengthening the connection between the artificial intelligence and database communities, aiming at bringing together all those researchers interested in the management of uncertain, incomplete, or inconsistent information. Such information originates commonly in applications where significant computat
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