How to ConQueR Why-Not Questions
Summary: ConQueR introduces a new paradigm for why-not explanations: automatically generate a refined query that returns original results plus the missing tuple(s). Unlike prior models, it explains missing tuples by query refactoring rather than editing data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Quoc Trung Tran (National University of Singapore)
- 2. Chee-Yong Chan (National University of Singapore)
BibTeX Citation
@inproceedings{tran_sigmod10,
title = {{How to ConQueR Why-Not Questions}},
author = {Tran, Quoc Trung and Chan, Chee-Yong},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807172},
url = {https://dl.acm.org/doi/10.1145/1807167.1807172},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 33 of 33 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 321 | Making Database Systems Usable | 2007 | SIGMOD | 0.00021093212 |
| 389 | Why Not? | 2009 | SIGMOD | 0.00019254758 |
| 520 | Query by Output | 2009 | SIGMOD | 0.00016910379 |
| 592 | Lineage Tracing for General Data Warehouse Transformations | 2001 | VLDB | 0.0001583562 |
| 624 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB | 0.00015438077 |
| 700 | Explaining differences in multidimensional aggregates | 1999 | VLDB | 0.00014642224 |
| 1,649 | Relaxing Join and Selection Queries | 2006 | VLDB | 9.9699016e-05 |
| 1,967 | iMAP: Discovering Complex Semantic Matches between Database Schemas | 2004 | SIGMOD | 9.2816844e-05 |
| 2,371 | Artemis: A System for Analyzing Missing Answers | 2009 | VLDB | 8.5457987e-05 |
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| 5 | 2,975 | Answering Why-not Questions on Reverse Top-k Queries | 2015 | VLDB |
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