Semantic Access to Siemens Streaming Data: the Optique Way

Abstract

Integration, access, and analyses of streaming data plays an important role in predictive and reactive diagnostics of turbines and other large appliances in Siemens Energy. In this demo we will show how semantic technologies implemented in the ontology-based data access platform OPTIQUE can help in enhancing these tasks. We will demonstrate how to deploy our platform over relational streams, register continuous queries, and perform monitoring via a devoted dashboard. For this purpose we will use an anonymised version of streaming data gathered from 200 gas and steam turbines between 2002 and 2011.

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0102020162017
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Cite this paper

@inproceedings{Kharlamov2015SemanticAT, title={Semantic Access to Siemens Streaming Data: the Optique Way}, author={Evgeny Kharlamov and Sebastian Brandt and Martin Giese and Ernesto Jim{\'e}nez-Ruiz and Steffen Lamparter and Christian Neuenstadt and {\"{O}zg{\"{u}r L. {\"{O}zçep and Christoph Pinkel and Ahmet Soylu and Dmitriy Zheleznyakov and Mikhail Roshchin and Stuart Watson and Ian Horrocks}, booktitle={International Semantic Web Conference}, year={2015} }