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Semantic stream processing in dynamic environments using dynamic stream selection

 
: Jacoby, M.; Riedel, T.

:

Beyerer, Jürgen (Ed.); Niggemann, Oliver (Ed.); Kühnert, Christian (Ed.):
Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2016, held at the Fraunhofer IOSB in Karlsruhe, September 29th, 2016
Berlin: Springer Vieweg, 2017 (Technologien für die intelligente Automation 3)
ISBN: 978-3-662-53805-0 (Print)
ISBN: 978-3-662-53806-7
pp.9-15
Conference on Machine Learning for Cyber-Physical-Systems and Industry 4.0 (ML4CPS) <2, 2016, Karlsruhe>
English
Conference Paper
Fraunhofer IOSB ()

Abstract
Cyber-physical systems (CPS) require a new level of dynamics in information processing. Databases and query approaches need to be extended towards dynamic stream aggregation and analysis systems. In this paper, we designed ECQELS, a semantic stream processing engine, to support CPS applications by adding essential features like dynamic sensor selection. We present a feature complete first implementation and show competitive performance results.

: http://publica.fraunhofer.de/documents/N-480918.html