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Efficient Lineage Tracking For Scientific Workflows

Summary: Introduces an interval-based, space- and query-efficient representation for data lineage graphs from scientific workflows, avoiding recursive storage. Transforms any workflow processes into compact dependency graphs and offers analysis plus evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4049
Venue
SIGMOD
Year
2008
Pagerank
0.00010630348
Overall Rank
1,765 | 87.73%
DOI
-

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