Semantic technologies - especially for symbolic reasoning and complex event processing - are particularly interesting to be employed on embedded controllers for various industrial applications such as diagnostics of technical devices to reason about sensor events. However, these technologies are typically tailored towards com-mon PC infrastructure and are thus not readily available on embedded platforms. In this paper, we present a proof-of-concept implementation of a technology stack for semantic complex event processing on the Gumstix embedded platform and report on first experimental results about memory consumption.

@inproceedings{ACTSFSROTG13,
	author	 = {Stephan Grimm and Thomas Hubauer and Thomas Runkler and Carlos Pachajoa and Felix Rempe and Marco Seravalli and Philipp Neumann},
	title	 = {{A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller}},
	year	 = {2013},
	booktitle	 = {{GI-Jahrestagung}},
	publisher	 = {GI},
	series	 = {LNI},
	number	 = {220},
	pages	 = {1925--1930},
	isbn	 = {978-3-88579-614-5},
	abstract	 = {Semantic technologies - especially for symbolic reasoning and complex event processing - are particularly interesting to be employed on embedded controllers for various industrial applications such as diagnostics of technical devices to reason about sensor events. However, these technologies are typically tailored towards com-mon PC infrastructure and are thus not readily available on embedded platforms. In this paper, we present a proof-of-concept implementation of a technology stack for semantic complex event processing on the Gumstix embedded platform and report on first experimental results about memory consumption.},
}