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Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams (2021)

Frank, Matthias T.

Karlsruhe : KIT Scientific Publishing

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Details

UID:

edocfu_9959950533902883

Umfang: 1 electronic resource (236 p.)

ISBN: 1000128146

Inhalt: 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.

Anmerkung: English

Weitere Ausg.: ISBN 3-7315-1076-6

Sprache: Englisch

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