Publication | Open Access
Fast and Simple Relational Processing of Uncertain Data
246
Citations
13
References
2008
Year
Unknown Venue
Relational DatabaseEngineeringUncertain DatabaseUncertain DataUncertainty FormalismRelational Representation SystemSimple Relational ProcessingData ScienceUncertainty QuantificationManagementData IntegrationPositive Relational AlgebraData ManagementVery Large DatabaseKnowledge DiscoveryComputer ScienceDatabase TheoryVertical PartitioningQuery OptimizationAutomated ReasoningData Modeling
This paper introduces U-relations, a succinct and purely relational representation system for uncertain databases. U-relations support attribute-level uncertainty using vertical partitioning. If we consider positive relational algebra extended by an operation for computing possible answers, a query on the logical level can be translated into, and evaluated as, a single relational algebra query on the U-relational representation. The translation scheme essentially preserves the size of the query in terms of number of operations and, in particular, number of joins. Standard techniques employed in off-the-shelf relational database management systems are effective for optimizing and processing queries on U-relations. In our experiments we show that query evaluation on U-relations scales to large amounts of data with high degrees of uncertainty.
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