Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
Download or Read eBook Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams PDF 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.
| Author | : Frank, Matthias T. |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 236 |
| Release | : 2021-07-12 |
| 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.
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.
