DBScholar

Back to papers

An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels

Summary: Skeleton-based reachability labeling for workflow provenance, leveraging a fixed specification to compactly label arbitrarily large runs with forks and loops. The scheme achieves logarithmic label length, linear-time construction, and constant-time query, validated empirically. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4349
Venue
SIGMOD
Year
2010
Pagerank
6.108728e-05
Overall Rank
5,724 | 60.73%
DOI
10.1145/1807167.1807244

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bao_sigmod10,
        title = {{An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels}},
        author = {Bao, Zhuowei and Davidson, Susan B. and Khanna, Sanjeev and Roy, Sudeepa},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807244},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807244},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers