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Provenance: On and Behind the Screens

Summary: Provenance taxonomy and type comparisons; visualization-driven interaction for domain-expert analysis. No single visualization fits all provenance types; the tutorial outlines core visualization concepts and concrete visuals to guide provenance design and use to ensure usability and trust in results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5211
Venue
SIGMOD
Year
2016
Pagerank
4.6684701e-05
Overall Rank
7,720 | 46.30%
DOI
10.1145/2882903.2912568

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,851 Provenance for Natural Language Queries 2017 VLDB 5.8768322e-05
5,867 Combining Design and Performance in a Data Visualization Management System 2017 CIDR 5.296418e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
31 Provenance Semirings 2007 PODS 0.0007857786
923 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.0001527609
1,413 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00012121257
2,027 Titian: Data Provenance Support in Spark 2016 VLDB 9.7437067e-05
2,028 Putting Lipstick on Pig: Enabling Database-style Workflow Provenance 2012 VLDB 9.7433981e-05
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