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Scalable Uncertainty Management

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Umberto Straccia

    1. Istituto di Scienza e Tecnologie dell’Informazione (ISTI - CNR), Pisa, Italy

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  2. Andrea Calì

    1. Department of Computer Science and Information Systems, University of London, London, United Kingdom

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

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

Included in the following conference series:

Conference proceedings info: SUM 2014.

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Table of contents (26 papers)

  1. A Petri Net Model of Argumentation Dynamics

    • Diego C. Martinez, Maria Laura Cobo, Guillermo Ricardo Simari
    Pages 237-250

  2. Integrity Constraints for Probabilistic Spatio-Temporal Knowledgebases

    • Francesco Parisi, John Grant
    Pages 251-264

  3. Repairs and Consistent Answers for Inconsistent Probabilistic Spatio-Temporal Databases

    • Francesco Parisi, John Grant
    Pages 265-279

  4. Skyline Queries in an Uncertain Database Model Based on Possibilistic Certainty

    • Olivier Pivert, Henri Prade
    Pages 280-285

  5. Querying Uncertain Multiple Sources

    • Olivier Pivert, Henri Prade
    Pages 286-291

  6. Population Size Extrapolation in Relational Probabilistic Modelling

    • David Poole, David Buchman, Seyed Mehran Kazemi, Kristian Kersting, Sriraam Natarajan
    Pages 292-305

  7. Improving Personalized Search on the Social Web Based on Similarities between Users

    • Zhenghua Xu, Thomas Lukasiewicz, Oana Tifrea-Marciuska
    Pages 306-319

  8. Back Matter

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  1. Scalable Uncertainty Management

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About this book

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.

Editors and Affiliations

  • Istituto di Scienza e Tecnologie dell’Informazione (ISTI - CNR), Pisa, Italy

    Umberto Straccia

  • Department of Computer Science and Information Systems, University of London, London, United Kingdom

    Andrea Calì

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