Explore
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
Matthias T. Frank
2021
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 58 times via unglue.it ebook links.
- 58 - pdf (CC BY-SA) at OAPEN Library.
Keywords
- corporate knowledge graph
- data stream processing
- Datenstromverarbeitung
- Economics
- Economics, finance, business & management
- Internet der Dinge
- Internet of Things
- Linked Open Data
- sensor data harmonization
- Sensordatenharmonisierung
- Wissensgraph
Links
DOI: 10.5445/KSP/1000128146Editions