VIP-Tree: An Effective Index for Indoor Spatial Queries
Summary: Introduces IP-Tree and VIP-Tree, lightweight indexes tailored to indoor-venue properties rather than generic spatial layouts. They support near-optimal shortest-distance/path queries plus efficient kNN and range search, outperforming prior methods by orders of magnitude. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhou Shao (Monash University)
- 2. Muhammad Aamir Cheema (Monash University)
- 3. David Taniar (Monash University)
- 4. Hua Lu (Aalborg University)
BibTeX Citation
@article{shao_vldb17,
title = {{VIP-Tree: An Effective Index for Indoor Spatial Queries}},
author = {Shao, Zhou and Cheema, Muhammad Aamir and Taniar, David and Lu, Hua},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {4},
pages = {325},
doi = {10.14778/3025111.3025115},
url = {https://doi.org/10.14778/3025111.3025115},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,229 | Continuously Monitoring Alternative Shortest Paths on Road Networks | 2020 | VLDB | 5.3017894e-05 |
| 11,695 | Towards Crowd-aware Indoor Path Planning | 2021 | VLDB | 5.093636e-05 |
| 11,850 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 5.093636e-05 |
| 13,442 | IndoorViz: A Demonstration System for Indoor Spatial Data Management | 2021 | SIGMOD | - |
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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 |
|---|---|---|---|---|
| 2,989 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 7.8896275e-05 |
| 5,851 | k-Nearest Neighbors on Road Networks: A Journey in Experimentation and In-Memory Implementation | 2016 | VLDB | 6.0659596e-05 |
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