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An Efficient Query Indexing Mechanism for Filtering Geo-Textual Data

Summary: Proposes IQ-tree, a hybrid index for real-time matching of Boolean Range Continuous queries over streams of geo-textual objects. Introduces novel cost models and matching algorithms, delivering scalable, low-latency filtering with strong empirical performance evidence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4797
Venue
SIGMOD
Year
2013
Pagerank
7.2282847e-05
Overall Rank
3,646 | 74.99%
DOI
10.1145/2463676.2465328

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod13,
        title = {{An Efficient Query Indexing Mechanism for Filtering Geo-Textual Data}},
        author = {Chen, Lisi and Cong, Gao and Cao, Xin},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465328},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465328},
        year = {2013}
}

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