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Provenance as Dependency Analysis

  • James Cheney
  • Amal Ahmed
  • Umut A. Acar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4797)

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.

Keywords

Dependency Analysis Collection Type Typing Judgment Data Provenance Semantic Characterization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • James Cheney
    • 1
  • Amal Ahmed
    • 2
  • Umut A. Acar
    • 2
  1. 1.University of Edinburgh 
  2. 2.Toyota Technological Institute at Chicago 

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