Within the rapidly expanding Internet of Things (IoT), growing amounts of spatially referenced data are being generated. Due to the dynamic, decentralized, and heterogeneous nature of the IoT, spatial IoT data (SID) quality has attracted considerable attention in academia and industry. How to invent and use technologies for managing spatial data quality and exploiting low-quality spatial data are key challenges in the IoT. In this tutorial, we highlight the SID consumption requirements in applications and offer an overview of spatial data quality in the IoT setting. In addition, we review pertinent technologies for quality management and low-quality data exploitation, and we identify trends and future directions for quality-aware SID management and utilization. The tutorial aims to not only help researchers and practitioners to better comprehend SID quality challenges and solutions, but also offer insights that may enable innovative research and applications.
- Huan Li (Aalborg University)
- Bo Tang (Southern University of Science and Technology)
- Hua Lu (Roskilde University)
- Muhammad Aamir Cheema (Monash University)
- Christian S. Jensen (Aalborg University)
Slides and VideosWatch Video Segment I (19 mins) Watch Video Segment II (38 mins) Watch Video Segment III (27 mins)
- Huan Li, Bo Tang, Hua Lu, Muhammad Aamir Cheema, and Christian S. Jensen. Spatial data quality in the IoT era: Management and exploitation. SIGMOD 2022.
- Huan Li, Hua Lu, Christian S. Jensen, Bo Tang, and Muhammad Aamir Cheema. Spatial data quality in the Internet of Things: Management, exploitation, and prospects. ACM Computing Surveys, 55(3) No.26: 1-41.