2025-09-28, 19:39
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3731510766 Matthias T. Frank Karlsruher Institut Für Technologie 2021
Idézet: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.
Contents of Download:
? Frank M. Knowledge Driven Harmonization Of Sensor Observations 2020.pdf (Matthias T. Frank) (2021) (26.68 MB)
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⭐️ Knowledge Driven Harmonization Of Sensor Observations (2020) ✅ (26.68 MB)
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