Truth Discovery for Spatio-Temporal Events from Crowdsourced Data
Summary: Recursive Bayesian truth discovery for spatio-temporal crowdsourced reports; reliability improves as more data arrives. BE+KE fuses Kalman dynamics to model event correlations, predicts next state, and updates with new reports, outperforming prior methods. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Daniel A. Garcia-Ulloa (Emory University)
- 2. Li Xiong (Emory University)
- 3. Vaidy Sunderam (Emory University)
BibTeX Citation
@article{garciaulloa_vldb17,
title = {{Truth Discovery for Spatio-Temporal Events from Crowdsourced Data}},
author = {Garcia-Ulloa, Daniel A. and Xiong, Li and Sunderam, Vaidy},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1562--1573},
doi = {10.14778/3137628.3137651},
url = {https://doi.org/10.14778/3137628.3137651},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 504 | A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration | 2012 | VLDB | 0.00017300628 |
| 890 | Integrating Conflicting Data: The Role of Source Dependence | 2009 | VLDB | 0.00013382697 |
| 1,393 | Truth Discovery and Copying Detection in a Dynamic World | 2009 | VLDB | 0.00010934682 |
| 3,231 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.6191767e-05 |
| 4,605 | Global Detection of Complex Copying Relationships Between Sources | 2010 | VLDB | 6.6103623e-05 |
| 7,237 | Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence | 2009 | CIDR | 5.6646649e-05 |
| 8,747 | Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers | 2015 | VLDB | 5.3766157e-05 |
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