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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)

Paper ID
11242
Venue
VLDB
Year
2016
Pagerank
4.6759281e-05
Overall Rank
7,693 | 46.49%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,254 DEX: Query Execution in a Delta-based Storage System 2017 SIGMOD 4.7885915e-05
8,156 List Intersection for Web Search: Algorithms, Cost Models, and Optimizations 2019 VLDB 4.5741172e-05
9,322 Indexing for Keyword Search with Structured Constraints 2023 PODS 4.3556432e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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