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WOLVES: Achieving Correct Provenance Analysis by Detecting and Resolving Unsound Workflow Views

Summary: WOLVES detects unsound workflow views that break dataflow provenance and fixes them with minimal, targeted view edits. Because view correction is NP-hard, it offers efficient time algorithms with strong or weak local optimality for scalable provenance repair. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9928
Venue
VLDB
Year
2009
Pagerank
-
Overall Rank
13,548 | 5.75%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
923 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.0001527609
7,370 Detecting and Resolving Unsound Workflow Views for Correct Provenance Analysis 2009 SIGMOD 4.7500735e-05
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