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Approximate Summaries for Why and Why-not Provenance

Summary: Proposes approximate summarization of why/why-not provenance via pattern encodings to compress provenance. Adds sampling for scalable capture and concise, informative summaries on large datasets, balancing informativeness, conciseness, and completeness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12283
Venue
VLDB
Year
2020
Pagerank
4.9581958e-05
Overall Rank
6,696 | 53.42%
DOI
10.14778/3380750.3380760

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Showing 14 of 14 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
214 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.0003363692
325 The History of Histograms (abridged) 2003 VLDB 0.00027378328
487 Why Not? 2009 SIGMOD 0.00022050218
652 On the Provenance of Non-Answers to Queries over Extracted Data 2008 VLDB 0.00018634477
942 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015155714
1,099 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00014096312
1,125 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013845652
1,861 Efficient Provenance Storage 2008 SIGMOD 0.00010287053
2,562 Explaining Missing Answers to SPJUA Queries 2010 VLDB 8.5386194e-05
3,105 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 7.5568954e-05
5,418 High-Level Why-Not Explanations using Ontologies 2015 PODS 5.5178123e-05
9,171 InsightNotes: Summary-Based Annotation Management in Relational Databases 2014 SIGMOD 4.3848773e-05
11,733 Provenance Summaries for Answers and Non-Answers 2018 VLDB 4.1945683e-05
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