This book constitutes the refereed proceedings of the First
International Conference on Scalable Uncertainty Management, SUM
2007, held in Washington, DC, USA, in Oktober 2007.
The 20 revised full papers presented were carefully reviewed and
selected from numerous submissions for inclusion in the book. The
papers address artificial intelligence researchers, database
researchers, and practitioners to demonstrate theoretical
techniques required to manage the uncertainty that arises in large
scale real world applications. The papers deal with the following
topics: uncertainty models, probabilistic logics, fuzzy logics, and
annotated logics, inconsistency logics, database algebras and
calculi, scalable database systems, spatial, temporal, mobile and
multimedia databases, as well as implementations, and
applications.
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