Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
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 harmo...
Salvato in:
Autore principale: | Frank, Matthias T. (auth) |
---|---|
Natura: | Elettronico Capitolo di libro |
Lingua: | inglese |
Pubblicazione: |
Karlsruhe
KIT Scientific Publishing
2021
|
Soggetti: | |
Accesso online: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Documenti analoghi
-
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
di: Frank, Matthias T.
Pubblicazione: (2021) -
IoT Multi Sensors
Pubblicazione: (2023) -
Machine Learning for Data Streams with Practical Examples in MOA
di: Bifet, Albert
Pubblicazione: (2018) -
Security and Privacy in Blockchains and the IoT
Pubblicazione: (2023) -
Smart Sensor Technologies for IoT
Pubblicazione: (2021)