| Title |
Monitoring Data Stream Reliability in Smart City Environments |
| ID_Doc |
45324 |
| Authors |
Kuemper, D; Iggena, T; Fischer, M; Toenjes, R; Pulvermueller, E |
| Title |
Monitoring Data Stream Reliability in Smart City Environments |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
Reliable information processing is an indispensable task in Smart City environments. Heterogeneous sensor infrastructures of individual information providers and data portal vendors tend to offer a hardly revisable information quality. This paper proposes a correlation model-based monitoring approach to evaluate the plausibility of smart city data sources. The model is based on spatial, temporal, and domain dependent correlations between individual data sources. A set of freely available datasets is used to evaluate the monitoring component and show the challenges of different spatial and temporal resolutions. |
| Author Keywords |
smart city; monitoring; plausibility; traffic data; time series; spatio-temporal; reasoning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000399698600098 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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