Scalable Uncertainty Management

1. Front Matter

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2. Consistent Query Answering: The First Ten Years

   • Jan Chomicki

   Pages 1-3

3. Heavy Tails and Web Models

   • Prabhakar Raghavan

   Pages 4-4

4. Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do, and the Can’t-Do

   • Christopher Re, Dan Suciu

   Pages 5-18

5. Frequent Itemset Mining from Databases Including One Evidential Attribute

   • Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane, Khaled Mellouli

   Pages 19-32

6. Evaluating Trustworthiness from Past Performances: Interval-Based Approaches

   • Jonathan Ben-Naim, Henri Prade

   Pages 33-46

7. A Comparative Study of Six Formal Models of Causal Ascription

   • Salem Benferhat, Jean-François Bonnefon, Philippe Chassy, Rui Da Silva Neves, Didier Dubois, Florence Dupin de Saint-Cyr et al.

   Pages 47-62

8. An Efficient Algorithm for Naive Possibilistic Classifiers with Uncertain Inputs

   • Salem Benferhat, Karim Tabia

   Pages 63-77

9. Transitive Observation-Based Causation, Saliency, and the Markov Condition

   • Jean-François Bonnefon, Didier Dubois, Henri Prade

   Pages 78-91

10. A Family of Tolerant Antidivision Operators for Database Fuzzy Querying

    • Patrick Bosc, Olivier Pivert

    Pages 92-105

11. Uncertainty Management for the Retrieval of Economic Information from Distributed Markets

    • René Brunner, Felix Freitag, Leandro Navarro

    Pages 106-119

12. Loopy Propagation in a Probabilistic Description Logic

    • Fabio Gagliardi Cozman, Rodrigo Bellizia Polastro

    Pages 120-133

13. On the Performance of Fuzzy Data Querying

    • Mariela Curiel, Claudia González, Leonid Tineo, Angélica Urrutia

    Pages 134-145

14. Tractable Reasoning with Bayesian Description Logics

    • Claudia d’Amato, Nicola Fanizzi, Thomas Lukasiewicz

    Pages 146-159

15. Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases

    • Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli, Floriana Esposito

    Pages 160-173

16. Fusing Uncertain Structured Spatial Information

    • Florence Dupin de Saint-Cyr, Robert Jeansoulin, Henri Prade

    Pages 174-188

17. A Neuro Fuzzy Approach for Handling Structured Data

    • Alessio Ferone, Alfredo Petrosino

    Pages 189-200

18. A Framework for the Partial Evaluation of SPARQL Queries

    • Sergio Flesca, Filippo Furfaro, Andrea Pugliese

    Pages 201-214

19. An Evolutionary Perspective on Approximate RDF Query Answering

    • Christophe Guéret, Eyal Oren, Stefan Schlobach, Martijn Schut

    Pages 215-228

20. Clustering Uncertain Data Via K-Medoids

    • Francesco Gullo, Giovanni Ponti, Andrea Tagarelli

    Pages 229-242

This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.

• algorithmic learning
• answer set programs
• artificial intelligence
• bayesian networks
• causal networks
• cross entropy
• database querying
• decision theory
• description logics
• distributed uncertainty
• fuzzy information
• fuzzy logic
• hybrid probabilistic logic
• imprecise informatio
• semantic web

• DEIS, Univ. della Calabria, Rende, Italy

  Sergio Greco

• Computing Laboratory, University of Oxford, Oxford, UK

  Thomas Lukasiewicz

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