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Scalable Uncertainty Management

4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings

  • Amol Deshpande
  • Anthony Hunter
Conference proceedings SUM 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6379)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6379)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Discussant Contributions

  4. Regular Contributions

    1. Foto N. Afrati, Angelos Vasilakopoulos
      Pages 28-41
    2. Leila Amgoud, Philippe Besnard
      Pages 42-55
    3. Leila Amgoud, Srdjan Vesic
      Pages 56-69
    4. Zainab Assaghir, Mehdi Kaytoue, Henri Prade
      Pages 70-83
    5. Sarra Ben Hariz, Zied Elouedi
      Pages 84-97
    6. Patrick Bosc, Allel Hadjali, Olivier Pivert, Grégory Smits
      Pages 98-111
    7. Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier
      Pages 112-125
    8. Claudia d’Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
      Pages 137-150
    9. Sergio Flesca, Filippo Furfaro, Francesco Parisi
      Pages 163-176
    10. Wafa Laâmari, Boutheina Ben Yaghlane, Christophe Simon
      Pages 191-204
    11. Kevin Loquin, Didier Dubois
      Pages 219-235
    12. Matteo Magnani, Danilo Montesi
      Pages 250-263
    13. Maria Vanina Martinez, Francesco Parisi, Andrea Pugliese, Gerardo I. Simari, V. S. Subrahmanian
      Pages 264-277
    14. Gerardo I. Simari, John P. Dickerson, V. S. Subrahmanian
      Pages 319-332
    15. Benjamin Quost, Thierry Denœux
      Pages 333-346
    16. Olivier Van Laere, Steven Schockaert, Bart Dhoedt
      Pages 347-360
    17. Ying Wang, Weiru Liu, David A. Bell
      Pages 361-374
    18. Ronald R. Yager
      Pages 375-388
  5. Back Matter

About these proceedings

Introduction

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 is interest in developing and applying formalisms for uncertainty andinconsistency widelyin systems that need to better managethis 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 signi?cant computational - forts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the c- ference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009.

Keywords

Text answer sets cognition data mining fuzzy logic incomplete data knowledge knowledge representation management ontologies possibilistic logic risk analysis semantic web uncertainty web services

Editors and affiliations

  • Amol Deshpande
    • 1
  • Anthony Hunter
    • 2
  1. 1.Department of Computer ScienceUniversity of MarylandCollege ParkUSA
  2. 2.Department of Computer ScienceUniversity College LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15951-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15950-3
  • Online ISBN 978-3-642-15951-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site