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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Main Author: | Frank, Matthias T. (auth) |
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
Karlsruhe
KIT Scientific Publishing
2021
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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