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
- 2. Bo Tang
- 3. Hua Lu
- 4. Muhammad Aamir Cheema
- 5. Christian S. Jensen
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,835 | Large Language Models for Spatial Analysis Queries | 2025 | VLDB | 4.1945683e-05 |
| 10,867 | T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data | 2025 | VLDB | 4.1945683e-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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