Semantic access to streaming and static data at Siemens
Evgeny Kharlamov(University of Oxford), Arild Waaler(University of Oslo), Mikhail Roshchin(Siemens (Germany)), Steffen Lamparter(Siemens (Germany)), Martin A. Giese(University of Oslo), Theofilos Mailis(National and Kapodistrian University of Athens), Sebastian Brandt(Siemens (Germany)), Christian Neuenstadt(University of Lübeck), Yannis Kotidis(Athens University of Economics and Business), Özgür Lütfü Özçep(University of Lübeck), Gulnar Mehdi(Siemens (Germany)), Christoforos Svingos(National and Kapodistrian University of Athens), Yannis Ioannidis(National and Kapodistrian University of Athens), Ahmet Soylu(Høyskolen Kristiania), Ralf Möller(University of Lübeck), Nina Solomakhina(Siemens (Germany))
Cited by 101
Related Papers
Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography
|Scientific Reports|2022|278
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
|Scientific Reports|2021|137
Optique: Zooming in on Big Data
|Computer|2015|112
Ontology Based Data Access in Statoil
|Journal of Web Semantics|2017|112
How Semantic Technologies Can Enhance Data Access at Siemens Energy
|Lecture notes in computer science|2014|88