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Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis

Summary: Unsound workflow views misrepresent dataflow and corrupt provenance; splits unsound composites to restore soundness with minimal change. NP-hard; weak/strong local optimality with polynomial-time correction; experiments favor the strong variant. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4208
Venue
SIGMOD
Year
2009
Pagerank
5.6237046e-05
Overall Rank
7,416 | 49.13%
DOI
10.1145/1559845.1559903

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sun_sigmod09,
        title = {{Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis}},
        author = {Sun, Peng and Liu, Ziyang and Davidson, Susan and Chen, Yi},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559903},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559903},
        year = {2009}
}

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