Semantic Access to Siemens Streaming Data: the OPTIQUE Way
Evgeny Kharlamov, Sebastian Brandt, Martin A. Giese, Ernesto Jiménez-Ruiz, Steffen Lamparter, Christian Neuenstadt, Özgür Lütfü Özçep, Christoph Pinkel, Ahmet Soylu, Dmitriy Zheleznyakov, Mikhail Roshchin, Stuart K. Watson, Ian Horrocks · 2015
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 imple-mented in the ontology-based data access platform OPTIQUE can help in enhanc-ing these tasks. We will demonstrate how to deploy our platform over relational streams, register continuous queries, and perform monitoring via a devoted dash-board. For this purpose we will use an anonymised version of streaming data gathered from 200 gas and steam turbines between 2002 and 2011. 1