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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
 
 
Title: Semantically-enhanced rule-based diagnostics for industrial Internet of Things: The SDRL language and case study for Siemens trains and turbines
Author: Kharlamov, Evgeny
Mehdi, Gulnar
Savković, Ognjen
Xiao, Guohui
Kalaycı, Elem Güzel
Roshchin, Mikhail
Appeared in: Journal of web semantics
Paging: Volume 56 (2019) nr. C pages 11-29
Year: 2019
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 5 found articles
 
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