Farid
3731510766 Matthias T. Frank Karlsruher Institut Für Technologie 2021
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.
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📌 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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