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Scalable Uncertainty Management

7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Weiru Liu

    1. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK

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  2. V. S. Subrahmanian

    1. Department of Computer Science, University of Maryland, College Park, USA

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  3. Jef Wijsen

    1. Département d’Informatique, Université de Mons, Mons, Belgium

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  • Fast-track conference proceeding of SUM 2013

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8078)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: SUM 2013.

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Table of contents (29 papers)

  1. Front Matter

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  2. Argumentation

    1. Analysis of Dialogical Argumentation via Finite State Machines

      • Anthony Hunter
      Pages 1-14

    2. What Can Argumentation Do for Inconsistent Ontology Query Answering?

      • Madalina Croitoru, Srdjan Vesic
      Pages 15-29

    3. Enforcement in Argumentation Is a Kind of Update

      • Pierre Bisquert, Claudette Cayrol, Florence Dupin de Saint-Cyr, Marie-Christine Lagasquie-Schiex
      Pages 30-43

    4. A Conditional Logic-Based Argumentation Framework

      • Philippe Besnard, Éric Grégoire, Badran Raddaoui
      Pages 44-56

    5. Modelling Uncertainty in Persuasion

      • Anthony Hunter
      Pages 57-70

    6. On the Implementation of a Multiple Output Algorithm for Defeasible Argumentation

      • Teresa Alsinet, Ramón Béjar, Lluis Godo, Francesc Guitart
      Pages 71-77

    7. A Formal Characterization of the Outcomes of Rule-Based Argumentation Systems

      • Leila Amgoud, Philippe Besnard
      Pages 78-91

    8. Meta-level Argumentation with Argument Schemes

      • Jann Müller, Anthony Hunter, Philip Taylor
      Pages 92-105

    9. Efficiently Estimating the Probability of Extensions in Abstract Argumentation

      • Bettina Fazzinga, Sergio Flesca, Francesco Parisi
      Pages 106-119

    10. AFs with Necessities: Further Semantics and Labelling Characterization

      • Farid Nouioua
      Pages 120-133

    11. Ranking-Based Semantics for Argumentation Frameworks

      • Leila Amgoud, Jonathan Ben-Naim
      Pages 134-147

    12. A Logical Theory about Dynamics in Abstract Argumentation

      • Richard Booth, Souhila Kaci, Tjitze Rienstra, Leendert van der Torre
      Pages 148-161

  3. Belief Functions, Possibility Theory and their Applications

    1. Sound Source Localization from Uncertain Information Using the Evidential EM Algorithm

      • Xun Wang, Benjamin Quost, Jean-Daniel Chazot, Jérôme Antoni
      Pages 162-175

    2. An Improvement of Subject Reacquisition by Reasoning and Revision

      • Jianbing Ma, Weiru Liu, Paul Miller, Fabian Campbell-West
      Pages 176-189

    3. Belief Functions: A Revision of Plausibility Conflict and Pignistic Conflict

      • Milan Daniel
      Pages 190-203

    4. Bipolar Possibility Theory as a Basis for a Logic of Desires and Beliefs

      • Didier Dubois, Emiliano Lorini, Henri Prade
      Pages 204-218

  4. Databases

    1. A New Class of Lineage Expressions over Probabilistic Databases Computable in P-Time

      • Batya Kenig, Avigdor Gal, Ofer Strichman
      Pages 219-232

    2. The Semantics of Aggregate Queries in Data Exchange Revisited

      • Phokion G. Kolaitis, Francesca Spezzano
      Pages 233-246

    3. PossDB: An Uncertainty Database Management System

      • Gösta Grahne, Adrian Onet, Nihat Tartal
      Pages 247-254
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  1. Scalable Uncertainty Management

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About this book

This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 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.

Editors and Affiliations

  • School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK

    Weiru Liu

  • Department of Computer Science, University of Maryland, College Park, USA

    V. S. Subrahmanian

  • Département d’Informatique, Université de Mons, Mons, Belgium

    Jef Wijsen

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