Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Managing Data Integration Uncertainty

  • Xin Luna Dong
  • Alon HalevyEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_80743


Probabilistic schema alignment


Consider a set of source schemas \({\mathcal {S}} = \{S_1, \dots , S_n\}\)

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Recommended Reading

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    Franklin M, Halevy AY, Maier D. From databases to dataspaces: a new abstraction for information management. Sigmod Rec. 2005;34(4):27–33.CrossRefGoogle Scholar
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    Sarma AD, Dong XL, Halevy A. Bootstrapping pay-as-you-go data integration systems. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2008. p. 861–74.Google Scholar
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    Dong X, Halevy AY, Yu C. Data integration with uncertainties. In: Proceedings of the 33rd International Conference on Very Large Data Bases; 2007. p. 687–98.Google Scholar
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    Gal A, Anaby-Tavor A, Trombetta A, Montesi D. A framework for modeling and evaluating automatic semantic reconciliation. VLDB J. 2003;14:50–67.CrossRefGoogle Scholar
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    Gal A, Martinez MV, Simari GI, Subrahmanian VS. Aggregate query answering under uncertain schema mappings. In: Proceedings of the 25th International Conference on Data Engineering; 2009. p. 940–51.Google Scholar
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    Dong XL, Gabrilovich E, Heitz G, Horn W, Lao N, Murphy K, et al. Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2014.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.AmazonSeattleUSA
  2. 2.The Recruit Institute of TechnologyMountain ViewUSA
  3. 3.Google Inc.Mountain ViewUSA