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IndoorViz: A Demonstration System for Indoor Spatial Data Management

Summary: IndoorViz: a demonstration system for indoor spatial data management that integrates three novel index structures with efficient query processing. Also provides interactive 3D visualization to support indexing, query execution, and display for large indoor venues under heavy workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6105
Venue
SIGMOD
Year
2021
Pagerank
-
Overall Rank
13,442 | 7.78%
DOI
10.1145/3448016.3452761

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Authors

BibTeX Citation

@inproceedings{li_sigmod21,
        title = {{IndoorViz: A Demonstration System for Indoor Spatial Data Management}},
        author = {Li, Yue and Yang, Shiyu and Cheema, Muhammad Aamir and Shao, Zhou and Lin, Xuemin},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452761},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452761},
        year = {2021}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
10,051 VIP-Tree: An Effective Index for Indoor Spatial Queries 2017 VLDB 5.1685424e-05
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