Scalable Uncertainty Management 4th International Conference, SU
Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there i
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Subseries of Lecture Notes in Computer Science
6379
Amol Deshpande Anthony Hunter (Eds.)
Scalable Uncertainty Management 4th International Conference, SUM 2010 Toulouse, France, September 27-29, 2010 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 Amol Deshpande University of Maryland, Department of Computer Science College Park, MD 20910, USA E-mail: [email protected] Anthony Hunter University College London, Department of Computer Science Gower Street, London WC1E 6BT, UK E-mail: [email protected]
Library of Congress Control Number: 2010934755
CR Subject Classification (1998): I.2, H.4, H.3, H.5, C.2, H.2 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-15950-8 Springer Berlin Heidelberg New York 978-3-642-15950-3 Springer Berlin Heidelberg New York
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Preface
Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous, and potentially conflicting, sources, there is interest in developing and applying formalisms for uncertainty and inconsistency widely in systems that need to better manage this data and knowledge. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in managing uncertainty and inconsistency in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty and inconsistency, irrespective of whether they are in databases, the Web, the Semantic Web, or in AI, as well as in other areas such as information retrieval, risk analysis, and computer vision, where significant computational efforts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the conference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009. This volume contains the papers presented at the Fourth
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