Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams

Matthias T. Frank

ISBN 10: 3731510766 / ISBN 13: 9783731510765

Editore: Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Jul 2021, 2021

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Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 236 pp. Englisch.

Codice articolo 9783731510765

Dati bibliografici

• Titolo: Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
• Editore: Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Jul 2021
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3731510766
• ISBN 13: 9783731510765
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.