SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects
Summary: SWORS is a spatial-keyword retrieval system supporting location-aware top-k text search and spatial keyword groups, jointly optimizing proximity, textual relevance, coverage, and inter-object distance. It combines server-side query processing with map-based desktop/mobile interfaces and real-world evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Xin Cao (Nanyang Technological University)
- 2. Gao Cong (Nanyang Technological University)
- 3. Christian S. Jensen (Aarhus University)
- 4. Jun Jie Ng (Nanyang Technological University)
- 5. Beng Chin Ooi (National University of Singapore)
- 6. Nhan-Tue Phan (Nanyang Technological University)
- 7. Dingming Wu (Hong Kong Baptist University)
BibTeX Citation
@article{cao_vldb12,
title = {{SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects}},
author = {Cao, Xin and Cong, Gao and Jensen, Christian S. and Ng, Jun Jie and Ooi, Beng Chin and Phan, Nhan-Tue and Wu, Dingming},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
pages = {1914--1925},
doi = {10.14778/2367502.2367536},
url = {https://doi.org/10.14778/2367502.2367536},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,078 | Towards Personalized Maps: Mining User Preferences from Geo-textual Data | 2016 | VLDB | 5.3251649e-05 |
| 12,265 | GroupFinder: A New Approach to Top-K Point-of-Interest Group Retrieval | 2013 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,819 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.6810907e-05 |
| 4,486 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 6.6693992e-05 |
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