Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams - Matthias T. Frank
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Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
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 lar ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Autor | Matthias T. Frank |
|---|---|
| Kirjastaja | Karlsruher Institut für Technologie |
| Väljalaskeaasta | 2021 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783731510765 |