Elem Guzel Kalayci

Free University of Bozen-Bolzano - Faculty of Computer Science

Sernesiplatz 1

Bozen-Bolzano, 39100

Italy

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Semantically-Enhanced Rule-Based Diagnostics for Industrial Internet of Things: The SDRL Language and Case Study for Siemens Trains and Turbines

Number of pages: 24 Posted: 11 Nov 2018
University of Oxford - Information Systems Group, Siemens Corporate Technology, Free University of Bozen-Bolzano - Faculty of Computer Science, Free University of Bozen-Bolzano - KRDB Research Centre, Free University of Bozen-Bolzano - Faculty of Computer Science and Siemens Corporate Technology
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Abstract:

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Internet of Things, Ontology Based Data Access, Trains, Turbines, Diagnostics, Signal Processing Rules