© 2014

Scalable Uncertainty Management

8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014. Proceedings

  • Umberto Straccia
  • Andrea Calì
Conference proceedings SUM 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8720)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8720)

Table of contents

  1. Front Matter
  2. Nahla BenAmor, Didier Dubois, Héla Gouider, Henri Prade
    Pages 1-7
  3. Salem Benferhat, Zied Bouraoui, Sylvain Lagrue, Julien Rossit
    Pages 8-21
  4. Salem Benferhat, Zied Bouraoui, Karim Tabia
    Pages 22-36
  5. Salem Benferhat, Sylvain Lagrue, Karim Tabia
    Pages 37-50
  6. Myriam Bounhas, Henri Prade, Gilles Richard
    Pages 66-79
  7. William Correa Beltran, Hélène Jaudoin, Olivier Pivert
    Pages 80-85
  8. Madalina Croitoru, Ricardo Oscar Rodriguez
    Pages 100-105
  9. Milan Daniel, Jianbing Ma
    Pages 106-119
  10. Cristhian Ariel David Deagustini, Maria Vanina Martínez, Marcelo A. Falappa, Guillermo Ricardo Simari
    Pages 120-133
  11. Dragan Doder, Stefan Woltran
    Pages 134-147
  12. Sayda Elmi, Karim Benouaret, Allel Hadjali, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane
    Pages 148-161
  13. Emmanuel Hadoux, Aurélie Beynier, Paul Weng
    Pages 176-189
  14. Ekaterini Ioannou, Minos Garofalakis
    Pages 203-208
  15. Thomas Lukasiewicz, Maria Vanina Martínez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari
    Pages 223-236

About these proceedings


This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.


data complexity data mining database quering decision-support systems distributed data sources image recognition information extraction natural language processing possibility theory probabilistic databases semantic Web social Web text mining uncertain databases uncertainty in knowledge representation and reasoning

Editors and affiliations

  • Umberto Straccia
    • 1
  • Andrea Calì
    • 2
  1. 1.Istituto di Scienza e Tecnologie dell’Informazione (ISTI - CNR)PisaItaly
  2. 2.Department of Computer Science and Information SystemsUniversity of LondonLondonUnited Kingdom

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