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
- 2. Zhifeng Bao
- 3. Lidan Shou
- 4. Anthony K. H. Tung
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 125 | Approximate String Joins in a Database (Almost) for Free | 2001 | VLDB | 0.00044946098 |
| 2,077 | Extending Autocompletion To Tolerate Errors | 2009 | SIGMOD | 9.6038296e-05 |
| 2,148 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 9.4278918e-05 |
| 3,561 | Location-Aware Type Ahead Search on Spatial Databases: Semantics and Efficiency | 2011 | SIGMOD | 6.9693906e-05 |
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