Assessing Quality in the Web of Linked Sensor Data

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.

Authors

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

Keywords

No keywords are indexed for this paper.