Libros
Knowledge-Driven Harmonization of Sensor Observations
ISBN: 978-3-7315-1076-5
Editorial: KIT Scientific Publishing
Licencia: Creative Commons (by-nc-nd)
Autor(es): Frank, Matthias
Editorial: KIT Scientific Publishing
Licencia: Creative Commons (by-nc-nd)
Autor(es): Frank, Matthias
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.
[Karlsruhe: 2021]
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