Assessing Quality in the Web of Linked Sensor Data

Chris Colin Baillie, Peter Edwards, Edoardo Pignotti

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.