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On Query Algebras for Probabilistic Databases
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ACM SIGMOD Record archive
Volume 37 ,  Issue 4  (December 2008) table of contents
COLUMN: Database principles table of contents
Pages 78-85  
Year of Publication: 2009
ISSN:0163-5808
Author
Christoph Koch  Cornell University, Ithaca, NY
Publisher
ACM  New York, NY, USA
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ABSTRACT

This article proposes a core query algebra for probabilistic databases. In essence, this core is part of the query languages of most probabilistic database systems proposed so far, but is sometimes hidden in complex language definitions. We give a formal definition of the algebra and illustrate it by examples. We then survey the current state of knowledge regarding the expressive power and complexity of this core.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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L. Antova, T. Jansen, C. Koch, and D. Olteanu. "Fast and Simple Relational Processing of Uncertain Data". In Proc. ICDE, 2008.
 
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L. Antova and C. Koch. "On APIs for Probabilistic Databases". In Proc. 2nd International Workshop on Management of Uncertain Data, Auckland, New Zealand, 2008.
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C. Koch. "MayBMS: A system for managing large uncertain and probabilistic databases". In C. Aggarwal, editor, Managing and Mining Uncertain Data, chapter 6. Springer-Verlag, 2008. To appear.
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C. Re, N. Dalvi, and D. Suciu. Efficient top-k query evaluation on probabilistic data. In Proc. ICDE, pages 886--895, 2007.
 
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C. Rß and D. Suciu. "Efficient Evaluation of HAVING Queries on a Probabilistic Database". In Proc. DBPL, pages 186--200, 2007.
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J. Widom. "Trio: a system for data, uncertainty, and lineage". In C. Aggarwal, editor, Managing and Mining Uncertain Data. Springer-Verlag, 2008. To appear.