Buchumschlag

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...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser: Frank, Matthias T.
Format: Online
Sprache:Englisch
Veröffentlicht: KIT Scientific Publishing 2021
Schlagworte:
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
Online-Zugang:ONIX_20210816_9783731510765_10
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Zusammenfassung: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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