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.
DETAILS
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
Frank, Matthias
Kartoniert, 236 S.
graph. Darst.
Sprache: Englisch
24 cm
KIT Scientific Publishing (2021)
Gewicht: 575 g
ISBN-13: 978-3-7315-1076-5
Titelnr.: 92078480