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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Autor principal:	Frank, Matthias T.
Format:	Online
Idioma:	anglès
Publicat:	KIT Scientific Publishing 2021
Matèries:	Internet der Dinge Linked Open Data Datenstromverarbeitung Wissensgraph Sensordatenharmonisierung Internet of Things data stream processing corporate knowledge graph sensor data harmonization thema EDItEUR::K Economics, Finance, Business and Management::KC Economics
Accés en línia:	ONIX_20210816_9783731510765_10
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