Assessing Quality in the Web of Linked Sensor Data

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Abstract

Assessing the quality of sensor data available on the Web is essential in order to identify reliable information for decision-making. This paper discusses how provenance of sensor observations and previous quality ratings can influence quality assessment decisions.

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Baillie, C., Edwards, P., & Pignotti, E. (2011). Assessing Quality in the Web of Linked Sensor Data. In Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011 (pp. 1750–1751). AAAI Press. https://doi.org/10.1609/aaai.v25i1.8044

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