Spatial Data Quality in the IoT Era: Management and Exploitation
Summary: Survey/tutorial on spatial data quality (SID) in IoT, addressing dynamic, decentralized SID and core quality challenges. Reviews SID quality-management tech and exploitation of low-quality data; outlines consumption needs, trends, and future directions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Huan Li (Aalborg University)
- 2. Bo Tang (Southern University of Science and Technology)
- 3. Hua Lu (Roskilde University)
- 4. Muhammad Aamir Cheema (Monash University)
- 5. Christian S. Jensen (Aalborg University)
BibTeX Citation
@inproceedings{li_sigmod22,
title = {{Spatial Data Quality in the IoT Era: Management and Exploitation}},
author = {Li, Huan and Tang, Bo and Lu, Hua and Cheema, Muhammad Aamir and Jensen, Christian S.},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3522568},
url = {https://dl.acm.org/doi/10.1145/3514221.3522568},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,510 | The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] | 2026 | SIGMOD | 4.9793485e-05 |
| 11,025 | Are We There Yet? A Grand Tour of ETA Queries | 2026 | VLDB | 4.9793485e-05 |
| 11,423 | Large Language Models for Spatial Analysis Queries | 2025 | VLDB | 4.9793485e-05 |
| 11,442 | T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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