Databases with uncertainty and lineage

Databases with uncertainty and lineage This paper introduces uldb s, an extension of relational databases with simple yet expressive constructs for representing and manipulating both lineage and uncertainty . Uncertain data and data lineage are two important areas of data management that have been considered extensively in isolation, however many applications require the features in tandem. Fundamentally, lineage enables simple and consistent representation of uncertain data, it correlates uncertainty in query results with uncertainty in the input data, and query processing with lineage and uncertainty together presents computational benefits over treating them separately. We show that the uldb representation is complete , and that it permits straightforward implementation of many relational operations. We define two notions of uldb minimality— data-minimal and lineage-minimal —and study minimization of uldb representations under both notions. With lineage, derived relations are no longer self-contained: their uncertainty depends on uncertainty in the base data. We provide an algorithm for the new operation of extracting a database subset in the presence of interconnected uncertainty. We also show how uldb s enable a new approach to query processing in probabilistic databases. Finally, we describe the current state of the Trio system, our implementation of uldb s under development at Stanford. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Databases with uncertainty and lineage

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Publisher
Springer-Verlag
Copyright
Copyright © 2008 by Springer-Verlag
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s00778-007-0080-z
Publisher site
See Article on Publisher Site

Abstract

This paper introduces uldb s, an extension of relational databases with simple yet expressive constructs for representing and manipulating both lineage and uncertainty . Uncertain data and data lineage are two important areas of data management that have been considered extensively in isolation, however many applications require the features in tandem. Fundamentally, lineage enables simple and consistent representation of uncertain data, it correlates uncertainty in query results with uncertainty in the input data, and query processing with lineage and uncertainty together presents computational benefits over treating them separately. We show that the uldb representation is complete , and that it permits straightforward implementation of many relational operations. We define two notions of uldb minimality— data-minimal and lineage-minimal —and study minimization of uldb representations under both notions. With lineage, derived relations are no longer self-contained: their uncertainty depends on uncertainty in the base data. We provide an algorithm for the new operation of extracting a database subset in the presence of interconnected uncertainty. We also show how uldb s enable a new approach to query processing in probabilistic databases. Finally, we describe the current state of the Trio system, our implementation of uldb s under development at Stanford.

Journal

The VLDB JournalSpringer Journals

Published: Mar 1, 2008

References

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