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

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.