Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
- Karlsruhe KIT Scientific Publishing 2021
- 1 electronic resource (236 p.)
Open Access
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.
Creative Commons
English
KSP/1000128146 9783731510765
Электронный бизнес Базы данных
Internet der Dinge Linked Open Data Datenstromverarbeitung Wissensgraph Sensordatenharmonisierung Internet of Things data stream processing corporate knowledge graph sensor data harmonization