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Frank, MatthiasKnowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
Kartoniert, KIT Scientific Publishing (2021)
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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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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

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