Scalable Uncertainty Management: Third International Conference, SUM 2009, Washington, DC, USA, September 28-30, 2009. Proceedings

✍ Scribed by Amol Deshpande (auth.), Lluís Godo, Andrea Pugliese (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Tongue: English
Leaves: 317
Series: Lecture Notes in Computer Science 5785 : Lecture Notes in Artificial Intelligence
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009. It contains 21 technical papers which were selected out of 30 submitted papers in a rigourous reviewing process. The volume also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large.

✦ Table of Contents

Front Matter....Pages -
PrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract)....Pages 1-1
Uncertainty in the Semantic Web....Pages 2-11
Bridging the Gap between Abstract Argumentation Systems and Logic....Pages 12-27
Modeling Unreliable Observations in Bayesian Networks by Credal Networks....Pages 28-39
Interventions in Possibilistic Logic....Pages 40-54
An Analysis of Sum-Based Incommensurable Belief Base Merging....Pages 55-67
An Argument-Based Approach to Using Multiple Ontologies....Pages 68-79
A Model Based on Possibilistic Certainty Levels for Incomplete Databases....Pages 80-94
A Proposal for Making Argumentation Computationally Capable of Handling Large Repositories of Uncertain Data....Pages 95-110
Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation....Pages 111-123
Explaining Inconsistencies in OWL Ontologies....Pages 124-137
On Improving the Scalability of Checking Satisfiability in Probabilistic Description Logics....Pages 138-149
Towards Relational Schema Uncertainty....Pages 150-164
Aggregation of Trust for Iterated Belief Revision in Probabilistic Logics....Pages 165-179
Fast and Accurate Prediction of the Destination of Moving Objects....Pages 180-192
Weighted Description Logics Preference Formulas for Multiattribute Negotiation....Pages 193-205
Probabilistic Planning with Imperfect Sensing Actions Using Hybrid Probabilistic Logic Programs....Pages 206-222
Extended Fuzzy Logic Programs with Fuzzy Answer Set Semantics....Pages 223-239
Finite Satisfiability in Infinite-Valued Łukasiewicz Logic....Pages 240-254
Compression of Probabilistic XML Documents....Pages 255-267
Query Answering in Belief Logic Programming....Pages 268-281
Towards Effective Elicitation of NIN-AND Tree Causal Models....Pages 282-296
An Evidence-Theoretic k -Nearest Neighbor Rule for Multi-label Classification....Pages 297-308
Back Matter....Pages -

✦ Subjects

Artificial Intelligence (incl. Robotics); Probability and Statistics in Computer Science; Computing Methodologies; Programming Techniques; Software Engineering; Mathematical Logic and Formal Languages

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