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)
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Authors
- 1. Davide Mottin (University of Trento)
- 2. Gautam Das (Qatar Computing Research Institute; University of Texas)
- 3. Alice Marascu (IBM)
- 4. Themis Palpanas (Paris Descartes University)
- 5. Senjuti Basu Roy (University of Washington Tacoma)
- 6. Yannis Velegrakis (University of Trento)
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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