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)
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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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