Collective Spatial Keyword Queries: A Distance Owner-Driven Approach
Summary: Distance-owner driven framework for CoSKQ (MaxSum-CoSKQ, Dia-CoSKQ) reveals cost dominated by at most three distance owners. Provides faster exact algorithms and improved approximations (MaxSum 1.375, Dia-CoSKQ 3-factor), with experiments showing scalable, near-optimal results. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cheng Long (Hong Kong University of Science and Technology)
- 2. Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
- 3. Ke Wang (Simon Fraser University)
- 4. Ada Wai-Chee Fu (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{long_sigmod13,
title = {{Collective Spatial Keyword Queries: A Distance Owner-Driven Approach}},
author = {Long, Cheng and Wong, Raymond Chi-Wing and Wang, Ke and Fu, Ada Wai-Chee},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465275},
url = {https://dl.acm.org/doi/10.1145/2463676.2465275},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,715 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD | 6.5487034e-05 |
| 6,940 | Exact Top-k Nearest Keyword Search in Large Networks | 2015 | SIGMOD | 5.7331991e-05 |
| 7,188 | Retrieving Regions of Interest for User Exploration | 2014 | VLDB | 5.6776255e-05 |
| 7,433 | Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations | 2015 | VLDB | 5.6197531e-05 |
| 8,823 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 5.3624668e-05 |
| 9,358 | SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries | 2017 | VLDB | 5.2822032e-05 |
| 11,378 | Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries | 2023 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,441 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00010778831 |
| 1,819 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.6810907e-05 |
| 4,179 | Retrieving Top-k Prestige-Based Relevant Spatial Web Objects | 2010 | VLDB | 6.8487923e-05 |
| 4,486 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 6.6693992e-05 |
| 4,711 | Reverse Spatial and Textual k Nearest Neighbor Search | 2011 | SIGMOD | 6.5506926e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,048 | WISK: A Workload-aware Learned Index for Spatial Keyword Queries | 2023 | SIGMOD |
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| 3 | 1,441 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB |
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