Scalable Uncertainty Management 6th International Conference, SU
This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed an
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LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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Eyke Hüllermeier Sebastian Link Thomas Fober Bernhard Seeger (Eds.)
Scalable Uncertainty Management 6th International Conference, SUM 2012 Marburg, Germany, September 17-19, 2012 Proceedings
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Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Eyke Hüllermeier Thomas Fober Bernhard Seeger Marburg University Department of Mathematics and Computer Science Hans-Meerwein-Straße 6, 35032 Marburg, Germany E-mail: {eyke, thomas, seeger}@informatik.uni-marburg.de Sebastian Link The University of Auckland Department of Computer Science 38 Princes St., Auckland 1010, New Zealand E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-33361-3 e-ISBN 978-3-642-33362-0 DOI 10.1007/978-3-642-33362-0 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2012946351 CR Subject Classification (1998): I.2, H.4, H.3, H.5, C.2, H.2 LNCS Sublibrary: SL 7 – Artificial Intelligence
© Springer-Verlag Berlin Heidelberg 2012 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, 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. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
In many applications nowadays, information systems are becoming increasingly complex, open, and dynamic. They involve massive amounts of data, generally issued from different sources. Moreover, information is often inconsistent, incomplete, heterogeneous, and pervaded with uncertainty. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in the management of uncertainty and inconsistency in databases, the Web, the Semantic Web, and artificial intelligence applications. The SUM conference series aims at bringing together researchers from these areas by highlighting new methods and technologies devoted to the problems raised by the need for a meaningful and computationally tractable management of
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