Title :
Fast and Simple Relational Processing of Uncertain Data
Author :
Antova, Lyublena ; Jansen, Thomas ; Koch, Christoph ; Olteanu, Dan
Author_Institution :
Database Group, Saarland Univ., Saarbrucken
Abstract :
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.
Keywords :
query processing; relational algebra; relational databases; U-relational representation; positive relational algebra; query evaluation; query optimization; query processing; relational algebra query; relational database management systems; relational processing; relational representation system; uncertain databases; vertical partitioning; Algebra; Cleaning; Image resolution; Intrusion detection; Polynomials; Query processing; Reconnaissance; Relational databases; Uncertainty; Vehicles;
Conference_Titel :
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-1836-7
Electronic_ISBN :
978-1-4244-1837-4
DOI :
10.1109/ICDE.2008.4497507