ULDBs: Databases with Uncertainty and Lineage


This paper introduces ULDBs, 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. Finally, we show how ULDBs enable a new approach to query processing in probabilistic databases.ULDBs form the basis of the Trio system under development at Stanford.

View Slides

Extracted Key Phrases

2 Figures and Tables

Citations per Year

569 Citations

Semantic Scholar estimates that this publication has 569 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Benjelloun2006ULDBsDW, title={ULDBs: Databases with Uncertainty and Lineage}, author={Omar Benjelloun and Anish Das Sarma and Alon Y. Halevy and Jennifer Widom}, booktitle={VLDB}, year={2006} }