Provenance as Dependency Analysis

James Cheney, Amal Ahmed, UmutA. Acar

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationDatabase Programming Languages
Subtitle of host publication11th International Symposium, DBPL 2007, Vienna, Austria, September 23-24, 2007, Revised Selected Papers
EditorsMarcelo Arenas, MichaelI. Schwartzbach
PublisherSpringer Berlin Heidelberg
Number of pages15
ISBN (Electronic)978-3-540-75987-4
ISBN (Print)978-3-540-75986-7
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg


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