Assessing Quality in the Web of Linked Sensor Data

Christopher Colin Baillie; Pete Edwards; Edoardo Pignotti

Assessing Quality in the Web of Linked Sensor Data

Christopher Colin Baillie, Pete Edwards, Edoardo Pignotti

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

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 prove- nance of sensor observations and previous quality rat- ings can influence quality assessment decisions.

Original language	English
Title of host publication	Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence
Editors	Wolfram Burgard, Dan Roth
Place of Publication	Menlo Park, California
Publisher	AAAI Press
Pages	1750-1751
Number of pages	2
ISBN (Electronic)	978-1-57735-511-3
ISBN (Print)	978-1-57735-507-6
Publication status	Published - 7 Aug 2011

Keywords

linked data
sensor
information quality
provenance

Access to Document

http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/download/3488/4149

Cite this

Assessing Quality in the Web of Linked Sensor Data. / Baillie, Christopher Colin; Edwards, Pete; Pignotti, Edoardo.

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. ed. / Wolfram Burgard; Dan Roth. Menlo Park, California : AAAI Press, 2011. p. 1750-1751.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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KW - sensor

KW - information quality

KW - provenance

M3 - Published conference contribution

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A2 - Burgard, Wolfram

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ER -

Assessing Quality in the Web of Linked Sensor Data

Abstract

Keywords

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