Scalable Uncertainty Management

10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings

  • Steven Schockaert
  • Pierre Senellart

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9858)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9858)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Invited Surveys

  3. Regular Papers

    1. Front Matter
      Pages 49-49
    2. Abdallah Arioua, Madalina Croitoru, Laura Papaleo, Nathalie Pernelle, Swan Rocher
      Pages 51-66
    3. Asma Belhadi, Didier Dubois, Faiza Khellaf-Haned, Henri Prade
      Pages 67-80
    4. Nawal Benabbou, Serena Di Sabatino Di Diodoro, Patrice Perny, Paolo Viappiani
      Pages 81-95
    5. Nahla Ben Amor, Didier Dubois, Héla Gouider, Henri Prade
      Pages 96-111
    6. Laurence Cholvy
      Pages 112-125
    7. Célia da Costa Pereira, Mauro Dragoni, Andrea G. B. Tettamanzi, Serena Villata
      Pages 126-139
    8. Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata
      Pages 140-154
    9. Sarah Alice Gaggl, Umer Mushtaq
      Pages 155-169
    10. Anne-Marie George, Nic Wilson
      Pages 170-183
    11. Srijan Kumar, Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian
      Pages 199-213
    12. Iván Palomares, Kim Bauters, Weiru Liu, Jun Hong
      Pages 214-229
    13. Jean-François Baget, Zied Bouraoui, Farid Nouioua, Odile Papini, Swan Rocher, Eric Würbel
      Pages 230-245

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016.

The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, 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.

Keywords

fuzzy databases heuristic information multiple-agent logic probabilistic databases reinforcement learning approximate reasoning argumentation artificial intelligence data provenance dempster-shafer theory fuzzy logic imperfect information learning to rank probabilistic logic programming probabilistic models risk analysis similarity statistical relational learning translations uncertainty

Editors and affiliations

  • Steven Schockaert
    • 1
  • Pierre Senellart
    • 2
  1. 1.Cardiff University CardiffUnited Kingdom
  2. 2.Télécom ParisTech ParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45856-4
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45855-7
  • Online ISBN 978-3-319-45856-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book