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IQR: An Interactive Query Relaxation System for the Empty-Answer Problem

Summary: IQR is an interactive relaxation system for empty-answer queries, proposing one relaxation at a time under an optimization objective until a non-empty answer is found. Probabilistic user-acceptance guides relaxations toward diverse goals (effort, profit) with exact/approximate solvers, validated on large real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4881
Venue
SIGMOD
Year
2014
Pagerank
-
Overall Rank
13,597 | 6.72%
DOI
10.1145/2588555.2594512

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Authors

BibTeX Citation

@inproceedings{mottin_sigmod14,
        title = {{IQR: An Interactive Query Relaxation System for the Empty-Answer Problem}},
        author = {Mottin, Davide and Das, Gautam and Marascu, Alice and Palpanas, Themis and Roy, Senjuti Basu and Velegrakis, Yannis},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2594512},
        url = {https://dl.acm.org/doi/10.1145/2588555.2594512},
        year = {2014}
}

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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
466 Automated Ranking of Database Query Results 2003 CIDR 0.00018014467
4,076 A Probabilistic Optimization Framework for the Empty-Answer Problem 2013 VLDB 6.9221203e-05
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