From complete to incomplete information and back
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
World-set decompositions: expressiveness and efficient algorithms
ICDT'07 Proceedings of the 11th international conference on Database Theory
Probabilistic ranked queries in uncertain databases
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Approximating predicates and expressive queries on probabilistic databases
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Generating efficient safe query plans for probabilistic databases
Data & Knowledge Engineering
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
On probabilistic fixpoint and Markov chain query languages
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Leveraging spatio-temporal redundancy for RFID data cleansing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Probabilistic string similarity joins
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Querying and cleaning uncertain data
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Efficient query evaluation over probabilistic XML with long-distance dependencies
Proceedings of the 2011 Joint EDBT/ICDT Ph.D. Workshop
Querying uncertain data with aggregate constraints
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Declarative platform for data sourcing games
Proceedings of the 21st international conference on World Wide Web
Towards high-throughput gibbs sampling at scale: a study across storage managers
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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MayBMS [4, 1, 3, 2] is a data management system for incomplete information developed at Saarland University. Its main features are a simple and compact representation system for incomplete information and a language called I-SQL with explicit operations for handling uncertainty. MayBMS is currently an extension of PostgreSQL and manages both complete and incomplete data and evaluates I-SQL queries.