Boolean + Ranking: Querying a Database by K-Constrained Optimization
Summary: Proposes OPT* for k-constrained optimization: Boolean constraint + numeric objective in RDBMS. It merges discrete index-space search with continuous optimization, framing queries as A* search over multi-index states with tight heuristics, achieving up to 3 orders of magnitude speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhen Zhang (University of Illinois Urbana-Champaign)
- 2. Seung-won Hwang (Pohang University of Science and Technology)
- 3. Kevin Chen-Chuan Chang (University of Illinois Urbana-Champaign)
- 4. Min Wang (IBM)
- 5. Christian A. Lang (IBM)
- 6. Yuan-chi Chang (IBM)
BibTeX Citation
@inproceedings{zhang_sigmod06,
title = {{Boolean + Ranking: Querying a Database by K-Constrained Optimization}},
author = {Zhang, Zhen and Hwang, Seung-won and Chang, Kevin Chen-Chuan and Wang, Min and Lang, Christian A. and Chang, Yuan-chi},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142515},
url = {https://dl.acm.org/doi/10.1145/1142473.1142515},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,566 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 7.2015969e-05 |
| 7,339 | Sum-Max Monotonic Ranked Joins for Evaluating Top-K Twig Queries on Weighted Data Graphs | 2007 | VLDB | 5.5490881e-05 |
| 8,189 | Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation | 2011 | VLDB | 5.3810913e-05 |
| 9,288 | A General Framework for Modeling and Processing Optimization Queries | 2007 | VLDB | 5.2021887e-05 |
| 12,659 | Exact Indexing for Support Vector Machines | 2011 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010679641 |
| 111 | Optimizing Multi-Feature Queries for Image Databases | 2000 | VLDB | 0.00032675259 |
| 172 | Combining Fuzzy Information from Multiple Systems | 1996 | PODS | 0.00026835705 |
| 507 | Supporting Incremental Join Queries on Ranked Inputs | 2001 | VLDB | 0.00017101297 |
| 686 | Optimizing Queries over Multimedia Repositories | 1996 | SIGMOD | 0.00014775707 |
| 838 | Minimal Probing: Supporting Expensive Predicates for Top-k Queries | 2002 | SIGMOD | 0.00013550235 |
| 961 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001282305 |
| 1,552 | Incremental Distance Join Algorithms for Spatial Databases | 1998 | SIGMOD | 0.00010275036 |
| 1,773 | Rank-aware Query Optimization | 2004 | SIGMOD | 9.6719067e-05 |
| 14,406 | SPIRE: A Progressive Content-Based Spatial Image Retrieval Engine | 2000 | SIGMOD | - |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 272 | An Overview of Query Optimization in Relational Systems | 1998 | PODS |
| 2 | 3,338 | On the Complexity of Query Result Diversification | 2013 | VLDB |
| 3 | 1,773 | Rank-aware Query Optimization | 2004 | SIGMOD |
| 4 | 7,855 | Constrained Optimalities in Query Personalization | 2005 | SIGMOD |
| 5 | 6,520 | Query Refinement for Diverse Top-k Selection | 2024 | SIGMOD |
| 6 | 2,591 | Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries | 2020 | VLDB |
| 7 | 12,599 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD |
| 8 | 643 | Evaluating Top-k Selection Queries | 1999 | VLDB |
| 9 | 9,288 | A General Framework for Modeling and Processing Optimization Queries | 2007 | VLDB |
| 10 | 961 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD |