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Call for papers


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 information

- 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 information retrieval

- mining image, speech, multimedia, and text data

- 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.


Lecture Notes in Computer Science  Lecture Notes in Artificial Intelligence


Submission of papers


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.


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