Assessing Quality in the Web of Linked Sensor Data

Chris Baillie; Peter Edwards; Edoardo Pignotti

doi:10.1609/aaai.v25i1.8044

Assessing Quality in the Web of Linked Sensor Data

Authors

Chris Baillie University of Aberdeen
Peter Edwards University of Aberdeen
Edoardo Pignotti University of Aberdeen

DOI:

https://doi.org/10.1609/aaai.v25i1.8044

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.

Downloads

Published

2011-08-04

How to Cite

Baillie, C., Edwards, P., & Pignotti, E. (2011). Assessing Quality in the Web of Linked Sensor Data. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1750-1751. https://doi.org/10.1609/aaai.v25i1.8044