Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams

Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
Author :
Publisher : KIT Scientific Publishing
Total Pages : 236
Release :
ISBN-10 : 9783731510765
ISBN-13 : 3731510766
Rating : 4/5 (65 Downloads)

Book Synopsis Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams by : Frank, Matthias T.

Download or read book Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams written by Frank, Matthias T. and published by KIT Scientific Publishing. This book was released on 2021-07-12 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data.


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