Hua Yingbing
Title
Cited by
Cited by
Year
From AutomationML to ROS: A model-driven approach for software engineering of industrial robotics using ontological reasoning
Y Hua, S Zander, M Bordignon, B Hein
2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016
252016
Utilizing ontological classification systems and reasoning for cyber-physical systems
S Zander, Y Hua
Karlsruhe Service Summit Research Workshop, 2016
42016
Concept Learning in AutomationML with Formal Semantics and Inductive Logic Programming
Y Hua, B Hein
2018 IEEE 14th International Conference on Automation Science and …, 2018
22018
Empowering the model-driven engineering of robotic applications using ontological semantics and reasoning
S Zander, N Ahmed, Y Hua
work (RDF) 3, W3C, 2014
22014
Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation
Y Hua, B Hein
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
12019
Concept Learning in Engineering based on Refinement Operator.
Y Hua, B Hein
ILP Up-and-Coming/Short Papers, 76-83, 2018
12018
ReApp–Wiederverwendbare Roboterapplikationen für flexible Roboteranlagen
U Reiser, U Müller, M Ludwig, M Lüdtke, Y Hua
Zukunft der Arbeit–Eine praxisnahe Betrachtung, 133-146, 2018
12018
AQT-A Query Template for AutomationML
Y Hua, B Hein
IEEE Transactions on Industrial Informatics, 2020
2020
Interactive Learning Engineering Concepts in AutomationML
Y Hua, B Hein
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
2019
Rapid Restart Hill Climbing for Learning Description Logic Concepts
Y Hua, B Hein
International Conference on Inductive Logic Programming, 46-61, 2019
2019
Modulare und Wandlungsfähige Robotersysteme
Y Hua, M Mende, B Hein
at-Automatisierungstechnik 63 (10), 32, 2015
2015
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Articles 1–11