E2.2 Semantic Information in Sensor Networks
- Event
- SMSI 2020
-
(did not take place because of Covid-19 virus pandemic) - Band
- SMSI 2020 - System of Units and Metrological Infrastructure
- Chapter
- E2 Future Topics in Metrology
- Author(s)
- M. Gruber - Physikalisch-Technische Bundesanstalt, Berlin (Germany), B. Seeger - Physikalisch-Technische Bundesanstalt, Braunschweig (Germany)
- Pages
- 364 - 365
- DOI
- 10.5162/SMSI2020/E2.2
- ISBN
- 978-3-9819376-2-6
- Price
- free
Abstract
Self-describing sensors and measurements are a key component to establish (semi-) automated dataanalysis in the context of Industry 4.0. By mapping concepts from existing knowledge bases into a coherent new ontology, we fulfill metrological requirements of sensor and measurement descriptions. Use cases considered for this ontology cover sensor networks, network topology, network robustness, information fusion, calibration models for dynamic uncertainty, correct metrological representation and implementation performance.