Scalable Uncertainty Management: 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings

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Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formalisms for uncertainty andinconsistency widelyin systems that need to better managethis data and knowledge. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in managing uncertainty and inconsistency in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty and inconsistency, irrespective of whether they are in databases,the Web, the Semantic Web, or in AI, as well as in other areas such as information retrieval, risk analysis, and computer vision, where signi?cant computational - forts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the c- ference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009.

Author(s): Christoph Koch (auth.), Amol Deshpande, Anthony Hunter (eds.)
Series: Lecture Notes in Computer Science 6379 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010

Language: English
Pages: 389
Tags: Artificial Intelligence (incl. Robotics); Information Systems Applications (incl.Internet); Information Storage and Retrieval; Computer Communication Networks; Database Management; Data Mining and Knowledge Discovery

Front Matter....Pages -
Markov Chain Monte Carlo and Databases....Pages 1-1
Answer Set Programming, the Solving Paradigm for Knowledge Representation and Reasoning....Pages 2-2
Graphical and Logical-Based Representations of Uncertain Information in a Possibility Theory Framework....Pages 3-6
Probabilistic Data: A Tiny Survey....Pages 7-10
The Role of Epistemic Uncertainty in Risk Analysis....Pages 11-15
Uncertainty in Clustering and Classification....Pages 16-19
Information Fusion....Pages 20-23
Use of the Domination Property for Interval Valued Digital Signal Processing....Pages 24-27
Managing Lineage and Uncertainty under a Data Exchange Setting....Pages 28-41
A Formal Analysis of Logic-Based Argumentation Systems....Pages 42-55
Handling Inconsistency with Preference-Based Argumentation....Pages 56-69
A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures....Pages 70-83
DK-BKM: Decremental K Belief K-Modes Method....Pages 84-97
On the Use of Fuzzy Cardinalities for Reducing Plethoric Answers to Fuzzy Queries....Pages 98-111
From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data....Pages 112-125
Plausibility of Information Reported by Successive Sources....Pages 126-136
Combining Semantic Web Search with the Power of Inductive Reasoning....Pages 137-150
Evaluating Trust from Past Assessments with Imprecise Probabilities: Comparing Two Approaches....Pages 151-162
Range-Consistent Answers of Aggregate Queries under Aggregate Constraints....Pages 163-176
Characterization, Propagation and Analysis of Aleatory and Epistemic Uncertainty in the 2008 Performance Assessment for the Proposed Repository for High-Level Radioactive Waste at Yucca Mountain, Nevada....Pages 177-190
Comparing Evidential Graphical Models for Imprecise Reliability....Pages 191-204
Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues....Pages 205-218
Kriging with Ill-Known Variogram and Data....Pages 219-235
Event Modelling and Reasoning with Uncertain Information for Distributed Sensor Networks....Pages 236-249
Uncertainty in Decision Tree Classifiers....Pages 250-263
Efficient Policy-Based Inconsistency Management in Relational Knowledge Bases....Pages 264-277
Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog....Pages 278-291
Handling Dirty Databases: From User Warning to Data Cleaning — Towards an Interactive Approach....Pages 292-305
Disjunctive Fuzzy Logic Programs with Fuzzy Answer Set Semantics....Pages 306-318
Cost-Based Query Answering in Action Probabilistic Logic Programs....Pages 319-332
Clustering Fuzzy Data Using the Fuzzy EM Algorithm....Pages 333-346
Combining Multi-resolution Evidence for Georeferencing Flickr Images....Pages 347-360
A Structure-Based Similarity Spreading Approach for Ontology Matching....Pages 361-374
Risk Modeling for Decision Support....Pages 375-388
Back Matter....Pages -