TY  - GEN
AU  - Frank,Matthias T.
TI  - Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
SN  - KSP/1000128146
PY  - 2021///
CY  - Karlsruhe
PB  - KIT Scientific Publishing
KW  - Economics
KW  - bicssc
KW  - Internet der Dinge
KW  - Linked Open Data
KW  - Datenstromverarbeitung
KW  - Wissensgraph
KW  - Sensordatenharmonisierung
KW  - Internet of Things
KW  - data stream processing
KW  - corporate knowledge graph
KW  - sensor data harmonization
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/20.500.12657/50449/1/9783731510765.pdf
UR  - https://directory.doabooks.org/handle/20.500.12854/71661
ER  -