Processing and Optimizing Main Memory Spatial-Keyword Queries
Summary: Main-memory spatial-keyword queries are processed with a cost-based optimizer over existing spatial and keyword indexes, avoiding the construction of new index structures. Three plan-building operators and five optimization techniques, with an independence-based approximation guarantee, yield 7–11× lower 99th-percentile latency and outperform single-index baselines and DBMS optimizers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Taesung Lee
- 2. Seung-won Hwang
- 3. Jin-woo Park
- 4. Sameh Elnikety
- 5. Sanghoon Lee
- 6. Yuxiong He
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,251 | DEX: Query Execution in a Delta-based Storage System | 2017 | SIGMOD | 4.7839943e-05 |
| 8,160 | List Intersection for Web Search: Algorithms, Cost Models, and Optimizations | 2019 | VLDB | 4.5697316e-05 |
| 9,327 | Indexing for Keyword Search with Structured Constraints | 2023 | PODS | 4.351469e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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