A Scalable Algorithm for Answering Queries Using Views
Summary: MiniCon provides a scalable method for answering conjunctive queries using a set of conjunctive views by computing a maximally-contained rewriting. First experimental study shows MiniCon outperforms bucket and inverse-rules, scales to many views, and extends to comparison predicates. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rachel Pottinger
- 2. Alon Levy
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,552 | View-Based Query Containment | 2003 | PODS | 6.0856349e-05 |
| 2,936 | Answering Top-k Queries Using Views | 2006 | VLDB | 7.8579393e-05 |
| 728 | Optimizing Queries Using Materialized Views: A Practical, Scalable Solution | 2001 | SIGMOD | 0.00017459654 |
| 6,884 | Query Evaluation using Overlapping Views: Completeness and Efficiency | 2006 | SIGMOD | 4.8917858e-05 |
| 976 | Answering Queries Using Limited External Query Processors | 1996 | PODS | 0.00014877501 |
| 297 | Complexity of Answering Queries Using Materialized Views | 1998 | PODS | 0.00028572729 |
| 5,144 | Scalable Query Rewriting: A Graph-Based Approach | 2011 | SIGMOD | 5.6597671e-05 |
| 583 | Answering Queries with Aggregation Using Views | 1996 | VLDB | 0.00019705383 |
| 82 | Answering Queries Using Views (Extended Abstract) | 1995 | PODS | 0.00054430106 |
| 9,263 | Materializing Views with Minimal Size To Answer Queries | 2003 | PODS | 4.3648789e-05 |