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Belief Revision in Uncertain Data Integration

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Databases Theory and Applications (ADC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9093))

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Abstract

This paper studies the problem of integrating probabilistic uncertain information. Certain constraints are imposed by the semantics of integration, but there is no guarantee that they are satisfied in practical situations. We present a Bayesian-based approach to revise the probability distribution of the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and record linkage and should be carried out before integration can be achieved for probabilistic uncertain data.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of North Carolina, Greensboro, NC, USA

    Fereidoon Sadri

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  1. Fereidoon Sadri
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Correspondence to Fereidoon Sadri .

Editor information

Editors and Affiliations

  1. University of Queensland, Brisbane, Queensland, Australia

    Mohamed A. Sharaf

  2. Monash University, Clayton, Australia

    Muhammad Aamir Cheema

  3. The University of Melbourne, Melbourne, Australia

    Jianzhong Qi

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© 2015 Springer International Publishing Switzerland

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Sadri, F. (2015). Belief Revision in Uncertain Data Integration. In: Sharaf, M., Cheema, M., Qi, J. (eds) Databases Theory and Applications. ADC 2015. Lecture Notes in Computer Science(), vol 9093. Springer, Cham. https://doi.org/10.1007/978-3-319-19548-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-19548-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19547-6

  • Online ISBN: 978-3-319-19548-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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