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...
Сохранить в:
| Главный автор: | |
|---|---|
| Формат: | Электронный ресурс Глава книги |
| Язык: | английский |
| Опубликовано: |
Karlsruhe
KIT Scientific Publishing
2021
|
| Предметы: | |
| Online-ссылка: | DOAB: download the publication DOAB: description of the publication |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
| Шифр: |
A1234.567 |
|---|---|
| Копировать 1 | Доступно |