Querying Geo-Textual Data: Spatial Keyword Queries and Beyond
Summary: A SIGMOD/VLDB tutorial surveying geo-textual queries, focusing on spatial keyword queries over streaming data and static POIs. Covers continuous queries, region-of-interest queries, and extracting topics/top-k words in regions; problems and directions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gao Cong (Nanyang Technological University)
- 2. Christian S. Jensen (Aalborg University)
BibTeX Citation
@inproceedings{cong_sigmod16,
title = {{Querying Geo-Textual Data: Spatial Keyword Queries and Beyond}},
author = {Cong, Gao and Jensen, Christian S.},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2912572},
url = {https://dl.acm.org/doi/10.1145/2882903.2912572},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,752 | TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks | 2023 | VLDB | 4.9793485e-05 |
| 12,277 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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