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SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe

Summary: Introduces SOPS, a system for efficient spatial-keyword publish/subscribe over geo-textual streams. Supports BRC and TaSK continuous queries, scales to tens of millions, delivering real-time results via browser UIs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11018
Venue
VLDB
Year
2014
Pagerank
5.3568072e-05
Overall Rank
8,857 | 39.24%
DOI
10.14778/2733004.2733040

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb14,
        title = {{SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe}},
        author = {Chen, Lisi and Cui, Yan and Cong, Gao and Cao, Xin},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1601--1604},
        doi = {10.14778/2733004.2733040},
        url = {https://doi.org/10.14778/2733004.2733040},
        year = {2014}
}

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
9,472 Indexing for Keyword Search with Structured Constraints 2023 PODS 5.2634238e-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
3,646 An Efficient Query Indexing Mechanism for Filtering Geo-Textual Data 2013 SIGMOD 7.2282847e-05
4,105 Top-k Publish-Subscribe for Social Annotation of News 2013 VLDB 6.8982075e-05
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