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

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.