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Provenance as Dependency Analysis

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Database Programming Languages (DBPL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4797))

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Abstract

Provenance is information recording the source, derivation, or history of some information. Provenance tracking has been studied in a variety of settings; however, although many design points have been explored, the mathematical or semantic foundations of data provenance have received comparatively little attention. In this paper, we argue that dependency analysis techniques familiar from program analysis and program slicing provide a formal foundation for forms of provenance that are intended to show how (part of) the output of a query depends on (parts of) its input. We introduce a semantic characterization of such dependency provenance, show that this form of provenance is not computable, and provide dynamic and static approximation techniques.

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Author information

Authors and Affiliations

  1. University of Edinburgh,  

    James Cheney

  2. Toyota Technological Institute at Chicago,  

    Amal Ahmed & Umut A. Acar

Authors
  1. James Cheney
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  2. Amal Ahmed
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  3. Umut A. Acar
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Editor information

Marcelo Arenas Michael I. Schwartzbach

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© 2007 Springer-Verlag Berlin Heidelberg

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Cheney, J., Ahmed, A., Acar, U.A. (2007). Provenance as Dependency Analysis. In: Arenas, M., Schwartzbach, M.I. (eds) Database Programming Languages. DBPL 2007. Lecture Notes in Computer Science, vol 4797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75987-4_10

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  • DOI: https://doi.org/10.1007/978-3-540-75987-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75986-7

  • Online ISBN: 978-3-540-75987-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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