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

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 harmo...

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Hlavní autor: Frank, Matthias T. (auth)
Médium: Kapitola
Vydáno: Karlsruhe KIT Scientific Publishing 2021
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