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A Provenance Framework for Data-Dependent Process Analysis

Summary: Generalizes semiring provenance from queries to data-dependent finite-state processes, jointly tracking database facts and external choices while finitely summarizing infinite executions. Enables interactive temporal what-if analysis of workflow/state-machine and database changes, with extensible annotations (e.g., cost, privileges). (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11112
Venue
VLDB
Year
2014
Pagerank
5.093636e-05
Overall Rank
12,212 | 16.22%
DOI
10.14778/2732279.2732285

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Authors

BibTeX Citation

@article{deutch_vldb14,
        title = {{A Provenance Framework for Data-Dependent Process Analysis}},
        author = {Deutch, Daniel and Moskovitch, Yuval and Tannen, Val},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {6},
        pages = {457--468},
        doi = {10.14778/2732279.2732285},
        url = {https://doi.org/10.14778/2732279.2732285},
        year = {2014}
}

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Rank Citing Paper Year Venue Pagerank
6,389 Query Refinement for Diverse Top-k Selection 2024 SIGMOD 5.8895166e-05
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