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The book explores the challenges of harmonizing diverse IoT data streams resulting from the Internet of Things, which generates vast amounts of sensor observations. It highlights the labor-intensive nature of this task due to varying formats, syntax, and semantics. To address these issues, the authors propose a knowledge-driven approach that leverages formalized public knowledge from Linked Open Data, aiming to streamline the harmonization process and reduce the associated effort.
Buchkauf
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams, Matthias Frank
- Sprache
- Erscheinungsdatum
- 2021
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- (Paperback)
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- Titel
- Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
- Sprache
- Englisch
- Autor*innen
- Matthias Frank
- Erscheinungsdatum
- 2021
- Einband
- Paperback
- Seitenzahl
- 236
- ISBN13
- 9783731510765
- Reihe
- Schlagwörter
- Sachbücher, Technologie & Industrie, Computer & Internet
- Beschreibung
- The book explores the challenges of harmonizing diverse IoT data streams resulting from the Internet of Things, which generates vast amounts of sensor observations. It highlights the labor-intensive nature of this task due to varying formats, syntax, and semantics. To address these issues, the authors propose a knowledge-driven approach that leverages formalized public knowledge from Linked Open Data, aiming to streamline the harmonization process and reduce the associated effort.