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

• Author(s): Frank, Matthias T.,
• Publisher: KIT Scientific Publishing
• Pages: 236
• ISBN_10: 3731510766
  ISBN_13: 9783731510765
  
• Language: en
• Categories: Computers / Information Technology ,

Description:... 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.