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2020 – today
- 2021
[b1]Yingbing Hua:
Methods for Semantic Interoperability in AutomationML-based Engineering. Karlsruhe Institute of Technology, Germany, 2021- [j1]Yingbing Hua
, Björn Hein:
AQT - A Query Template for AutomationML. IEEE Trans. Ind. Informatics 17(2): 1018-1028 (2021)
2010 – 2019
- 2019
- [c7]Yingbing Hua, Björn Hein:
Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation. ETFA 2019: 79-86 - [c6]Yingbing Hua, Björn Hein:
Interactive Learning Engineering Concepts in AutomationML. ETFA 2019: 1248-1251 - [c5]Yingbing Hua, Björn Hein:
Rapid Restart Hill Climbing for Learning Description Logic Concepts. ILP 2019: 46-61 - [d1]Yingbing Hua:
By-example data query for AutomationML using tree patterns. IEEE DataPort, 2019
- [i1]Yingbing Hua, Björn Hein:
Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation. CoRR abs/1906.04240 (2019) - 2018
- [c4]Yingbing Hua, Björn Hein:
Concept Learning in AutomationML with Formal Semantics and Inductive Logic Programming. CASE 2018: 1542-1547 - [c3]Yingbing Hua, Björn Hein:
Concept Learning in Engineering based on Refinement Operator. ILP Up-and-Coming / Short Papers 2018: 76-83 - 2016
- [c2]Yingbing Hua, Stefan Zander, Mirko Bordignon, Björn Hein:
From AutomationML to ROS: A model-driven approach for software engineering of industrial robotics using ontological reasoning. ETFA 2016: 1-8 - [c1]Stefan Zander, Nadia Ahmed, Yingbing Hua:
Empowering the Model-driven Engineering of Robotic Applications using Ontological Semantics and Reasoning. KEOD 2016: 192-198
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