A large amount of available data nowadays includes
uncertain, imprecise and inconsistent information. The possibility of
integrating and exploiting these data calls for sound and efficient
techniques for managing uncertainty and handling inconsistency. These issues, which have been
traditionally addressed within the artificial intelligence community,
already play a key role in fields 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 collaboration and
cross-fertilization between the reasoning under uncertainty community and
the databases and semantic Web communities.
SUM 2009 is the third edition of the
International Conference on Scalable Uncertainty Management, following
the successful previous editions SUM 2007 in Washington DC, USA, and SUM
2008 in Naples, Italy.
Submissions are solicited in all areas of
massive uncertainty and inconsistency, including (but not restricted to)
the topics listed below:
- probability logic
- fuzzy logic
- annotated logic
- Bayesian models
- Markov models
- possibilistic logic
- paraconsistent logic
- semantics of uncertain data
- formal models of uncertain data
- reasoning with uncertain and inconsistent
- spatio-temporal uncertainty management
- probabilistic databases
- inconsistent databases
- uncertainty and inconsistency in the Web and
in the Semantic Web
- uncertain database algebras
- query optimization with uncertainty
- query caching for uncertain databases
- indexing methods for uncertainty
- uncertain aggregate queries
- uncertainty in view management
- skyline query processing
- top-k queries and ranking
- approximate query processing
- uncertainty in data integration and exchange
- uncertainty in data streams
- uncertainty in information retrieval
- data sharing and uncertainty
- approximate schema and ontology mapping
- similarity in ontology languages
- similarity search and extraction
- information extraction
- vision and uncertainty
- audio processing and uncertainty
- multimedia and uncertainty
- text and uncertainty
- mobile systems and uncertainty
- image, speech, multimedia, and text
- mining image, speech, multimedia, and text
- personalization and user preferences
- mining in social networks
- uncertainty and trust issues
- ranking in information retrieval
- matchmaking and negotiation
- novel applications and systems
We especially want to encourage submissions from
uncertainty and inconsistency management in databases, as well as from
uncertainty and inconsistency handling in the Web and the Semantic Web.
We seek both theoretical and practical works.
The proceedings will be published by Springer as
a volume in the Lecture Notes in Computer Science/Lecture Notes in Artificial
Intelligence (LNCS/LNAI) series and will be available at the conference.
After the conference, we are also planning to edit a special issue of a
journal with selected papers from the conference.
Submissions must be typeset using the Springer
LaTeX2e style llncs for Lecture Notes in Computer Science (see this link).
The length should not exceed 12 pages for full papers and 6 pages for
short papers. Short papers should be clearly marked as such in the title
and in the easychair submission system. Submissions which deviate
substantially from these guidelines may be rejected without review.
Submissions will especially be judged for originality and scientific
quality. All accepted papers will be included in the proceedings.