[loginf] SUM 2008: Call for Participation
Thomas.Lukasiewicz at kr.tuwien.ac.at
Mon Aug 25 10:13:47 CEST 2008
CALL FOR PARTICIPATION
Second International Conference on Scalable Uncertainty Management (SUM
October 1-3, 2008
Originally, managing uncertainty and inconsistency has especially been
explored in Artificial Intelligence. During the recent years, especially
with the availability of massive amounts of data in different repositories
and the possibility of integrating and exploiting these data, technologies
for managing uncertainty and inconsistency have started to play a key role
in databases and the Web. Some of the most prominent such technologies
are probably the ranking algorithms standing behind web search engines.
Techniques for handling uncertainty and inconsistency are expected to
play a similarly important role in the context of the Semantic Web.
The annual International Conference on Scalable Uncertainty Management
(SUM) has grown out of this very large interest on 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.
The very successful First International Conference on Scalable Uncertainty
Management (SUM 2007) was held in Washington DC, USA, October 10-12, 2007
(see http://www.umiacs.umd.edu/conferences/sum2007/). The Second
International Conference on Scalable Uncertainty Management (SUM 2008)
will be held in Naples, Italy, October 1-3, 2008.
EARLY REGISTRATION DEADLINE
September 1, 2008
"Heavy Tails and Web Models"
Prabhakar Raghavan (Yahoo! Research, USA)
"Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do,
and the Can't-Do" Dan Suciu (University of Washington, USA)
"Consistent Query Answering: The First Ten Years"
Jan Chomicki (State University of NY-Buffalo, USA)
"Frequent Itemset Mining from Databases Including One Evidential Attribute"
M.A. Bach Tobji, B. Ben Yaghlane, K. Mellouli
"Evaluating Trustworthiness from Past Performances: Interval-based
Approaches" J. Ben-Naim, H. Prade
"A Comparative Study of Six Formal Models of Causal Ascription"
S. Benferhat, J.-F. Bonnefon, P. Chassy, R. Da Silva Neves, D. Dubois,
F. Dupin de Saint-Cyr, D. Kayser, F. Nouioua, S. Nouioua-Boutouhami,
H. Prade, S. Smaoui
"An Efficient Algorithm for Naive Possibilistic Classifiers with Uncertain
Inputs" S. Benferhat, K. Tabia
"Transitive Observation-Based Causation, Saliency, and the Markov Condition"
J.-F. Bonnefon, D. Dubois, H. Prade
"A Family of Tolerant Antidivision Operators for Database Fuzzy Querying"
P. Bosc, O. Pivert
"Uncertainty Management for the Retrieval of Economic Information from
Distributed Markets" R. Brunner, F. Freitag, L. Navarro
"Loopy Propagation in a Probabilistic Description Logic"
F.G. Cozman, R.B. Polastro
"On the Performance of Fuzzy Data Querying"
M. Curiel, C. González, L. Tineo, A. Urrutia
"Tractable Reasoning with Bayesian Description Logics"
C. d'Amato, N. Fanizzi, T. Lukasiewicz
"Approximate Reasoning for Efficient Anytime Induction from Relational
Knowledge Bases" N. Di Mauro, T.M.A. Basile, S. Ferilli, F. Esposito
"Fusing Uncertain Structured Spatial Information"
F. Dupin de Saint-Cyr, R. Jeansoulin, H. Prade
"A Neuro Fuzzy Approach for Handling Structured Data"
A. Ferone, A. Petrosino
"A Framework for the Partial Evaluation of SPARQL Queries"
S. Flesca, F. Furfaro, A. Pugliese
"An Evolutionary Perspective on Approximate RDF Query Answering"
C. Gueret, E. Oren, S. Schlobach, M. Schut
"Clustering Uncertain Data via K-medoids"
F. Gullo, G. Ponti, A. Tagarelli
"Speeding up the NRA Algorithm"
P. Gursky, P. Vojtas
"Uncertain Context Modeling of Dimensional Ontology Using Fuzzy Subset
Theory" Y. Jiang, H. Dong
"A Personalized Approach to Experience-Aware Service Ranking and Selection"
F. Klan, B. Koenig-Ries
"Performance Evaluation of Algorithms for Soft Evidential Update in
Bayesian Networks: First Results" S. Langevin, M. Valtorta
"Optimization of Queries over Interval Probabilistic Data"
M. Magnani, D. Montesi
"Polynomial Time Queries over Inconsistent Databases"
"Using OBDDs for Efficient Query Evaluation on Probabilistic Databases"
D. Olteanu, J. Huang
"A Logical Framework to Reinforcement Learning using Hybrid Probabilistic
Logic Programs" E. Saad
"On the Relationship between Hybrid Probabilistic Logic Programs and
Stochastic Satisfiability" E. Saad
"Scaling Most Probable World Computations in Probabilistic Logic Programs"
G.I. Simari, M.V. Martinez, A. Sliva, V.S. Subrahmanian
"Measuring the Ignorance and Degree of Satisfaction for Answering Queries
in Imprecise Probabilistic Logic Programs" A. Yue, W. Liu, A. Hunter
For further information, including information on registration,
accommodation, and travel, please refer to the SUM 2008 web site:
More information about the loginf