MESA: A Map Service to Support Fuzzy Type-ahead Search over Geo-Textual Data
Summary: MESA offers fuzzy type-ahead over geo-textual data via a map service. It unifies incremental relaxation—spatial region expansion and exact/approximate prefix/substring matching—in a client-server framework to accelerate multiple spatial keyword variants, with an autocompletion-driven interface and customizable search. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuxin Zheng (National University of Singapore)
- 2. Zhifeng Bao (University of Tasmania)
- 3. Lidan Shou (Zhejiang University)
- 4. Anthony K. H. Tung (National University of Singapore)
BibTeX Citation
@article{zheng_vldb14,
title = {{MESA: A Map Service to Support Fuzzy Type-ahead Search over Geo-Textual Data}},
author = {Zheng, Yuxin and Bao, Zhifeng and Shou, Lidan and Tung, Anthony K. H.},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1545--1548},
doi = {10.14778/2733004.2733026},
url = {https://doi.org/10.14778/2733004.2733026},
year = {2014}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 107 | Approximate String Joins in a Database (Almost) for Free | 2001 | VLDB | 0.00033511706 |
| 1,701 | Extending Autocompletion To Tolerate Errors | 2009 | SIGMOD | 9.9707165e-05 |
| 2,989 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 7.8896275e-05 |
| 3,534 | Location-Aware Type Ahead Search on Spatial Databases: Semantics and Efficiency | 2011 | SIGMOD | 7.3347488e-05 |
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