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A Probabilistic Optimization Framework for the Empty-Answer Problem

Summary: Introduces a probabilistic optimization framework for the empty-answer problem to drive interactive query relaxation. It optimizes objectives to suggest relaxations with fewer predicates, offering optimal and approximate solvers and empirical gains over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10851
Venue
VLDB
Year
2013
Pagerank
6.9221203e-05
Overall Rank
4,076 | 72.04%
DOI
10.14778/2556549.2556560

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mottin_vldb13,
        title = {{A Probabilistic Optimization Framework for the Empty-Answer Problem}},
        author = {Mottin, Davide and Marascu, Alice and Roy, Senjuti Basu and Das, Gautam and Palpanas, Themis and Velegrakis, Yannis},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {14},
        pages = {1762--1775},
        doi = {10.14778/2556549.2556560},
        url = {https://doi.org/10.14778/2556549.2556560},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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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
385 Why Not? 2009 SIGMOD 0.00019455743
466 Automated Ranking of Database Query Results 2003 CIDR 0.00018014467
856 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013573466
1,636 Relaxing Join and Selection Queries 2006 VLDB 0.00010156479
1,844 Probabilistic Ranking of Database Query Results 2004 VLDB 9.6314187e-05
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