@inproceedings{85e4a7389ab84fc98e7ed3c2675701fb,
title = "Assessing the Quality of Semantic Sensor Data",
abstract = "Sensors are increasingly publishing observations to the Web of Linked Data. However, assessing the quality of such data remains a major challenge for agents (human and machine). This paper describes how Qual-O, a vocabulary for describing quality assessment, can be used to perform quality assessment on semantic sensor data.",
keywords = "Semantic Web, Linked Data, ontology, quality , provenance",
author = "Chris Baillie and Peter Edwards and Edoardo Pignotti and David Corsar",
note = "Acknowledgements The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.; 6th International Workshop on Semantic Sensor Networks ; Conference date: 21-10-2013 Through 22-10-2013",
year = "2013",
month = oct,
day = "14",
language = "English",
volume = "1063",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS",
pages = "71--76",
editor = "Oscar Corcho and Cory Henson and Payam Barnaghi",
booktitle = "Proceedings of the Sixth International Workshop on Semantic Sensor Networks",
}