Scalable Uncertainty Management

Third International Conference, SUM 2009, Washington, DC, USA, September 28-30, 2009, Proceedings
Herausgegeben:Godo, Lluis; Pugliese, Andrea

• Broschiertes Buch

Produktbeschreibung

A large amount of available data nowadays includes uncertain, imprecise and inconsistentinformation. The possibility ofintegratingandexploitingthese data calls for sound and e?cient techniques for managing uncertainty and handling inconsistency. These issues, which have been traditionally addressed within the arti?cial intelligence community, already play a key role in ?elds like databases or the semantic Web. The annual International Conference on Scalable Uncertainty Management (SUM), grown out of this large interest in uncertainty and inconsistency, aims at bringing together all those interested in the management of uncertainty and inconsistency at large,fostering the collaborationandcross-fertilizationbetween the reasoningunder uncertaintycommunity andthe databaseandsemanticWeb communities. This volume contains the papers presented at the Third International C- ference on Scalable Uncertainty Management (SUM 2009), which was held in Washington DC, USA, September 28-30, 2009, following the successful pre- ous editions of SUM 2007 in Washington DC, USA, and SUM 2008 in Naples, Italy. It contains 21 technical papers, which were selected out of 30 submitted papers in a rigorous reviewing process, where each paper was reviewed by three Program Committee members. The volume also contains abstracts of the two invited talks. We wish to thank all authors who submitted papers and all c- ference participants for fruitful discussions. We are grateful to Amol Deshpande and Thomas Lukasiewicz for their invited talks at the conference. We would like to thank all the Program Committee members and external referees for their timely expertise in carefully reviewing the submissions.

Produktdetails

• Lecture Notes in Computer Science 5785
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 12755936, 978-3-642-04387-1
• 2009
• Seitenzahl: 320
• Erscheinungstermin: 7. September 2009
• Englisch
• Abmessung: 235mm x 155mm x 18mm
• Gewicht: 488g
• ISBN-13: 9783642043871
• ISBN-10: 3642043879
• Artikelnr.: 26899728

Inhaltsangabe

PrDB: Managing Large
Scale Correlated Probabilistic Databases (Abstract).
Uncertainty in the Semantic Web.
Bridging the Gap between Abstract Argumentation Systems and Logic.
Modeling Unreliable Observations in Bayesian Networks by Credal Networks.
Interventions in Possibilistic Logic.
An Analysis of Sum
Based Incommensurable Belief Base Merging.
An Argument
Based Approach to Using Multiple Ontologies.
A Model Based on Possibilistic Certainty Levels for Incomplete Databases.
A Proposal for Making Argumentation Computationally Capable of Handling Large Repositories of Uncertain Data.
Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation.
Explaining Inconsistencies in OWL Ontologies.
On Improving the Scalability of Checking Satisfiability in Probabilistic Description Logics.
Towards Relational Schema Uncertainty.
Aggregation of Trust for Iterated Belief Revision in Probabilistic Logics.
Fast and Accurate Prediction of the Destination of Moving Objects.
Weighted Description Logics Preference Formulas for Multiattribute Negotiation.
Probabilistic Planning with Imperfect Sensing Actions Using Hybrid Probabilistic Logic Programs.
Extended Fuzzy Logic Programs with Fuzzy Answer Set Semantics.
Finite Satisfiability in Infinite
Valued ?ukasiewicz Logic.
Compression of Probabilistic XML Documents.
Query Answering in Belief Logic Programming.
Towards Effective Elicitation of NIN
AND Tree Causal Models.
An Evidence
Theoretic k
Nearest Neighbor Rule for Multi
label Classification.