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EFQ: Why-Not Answer Polynomials in Action

Summary: EFQ uses Why-Not Answer polynomials to provide complete explanations for missing query results. It enables automatic, relevant query refinements guided by these polynomials, aiding expert debugging of data-access queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11099
Venue
VLDB
Year
2015
Pagerank
5.0010375e-05
Overall Rank
6,572 | 54.33%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,974 NLProveNAns: Natural Language Provenance for Non-Answers 2018 VLDB 4.8725777e-05
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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.

Rank Cited Paper Year Venue Pagerank
487 Why Not? 2009 SIGMOD 0.00022030123
653 On the Provenance of Non-Answers to Queries over Extracted Data 2008 VLDB 0.00018616975
1,124 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013832959
2,565 Explaining Missing Answers to SPJUA Queries 2010 VLDB 8.5307653e-05
2,794 Artemis: A System for Analyzing Missing Answers 2009 VLDB 8.1164685e-05
3,100 Answering Why-not Questions on Reverse Top-k Queries 2015 VLDB 7.5625111e-05
3,204 A Probabilistic Optimization Framework for the Empty-Answer Problem 2013 VLDB 7.3884503e-05
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