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Beschreibung
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.
Details
| Verlag | KIT Scientific Publishing |
| Ersterscheinung | 12. Juli 2021 |
| Maße | 24 cm x 17 cm |
| Gewicht | 575 Gramm |
| Format | Softcover |
| ISBN-13 | 9783731510765 |
| Auflage | 1. Auflage |
| Seiten | 236 |
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