Title: Automating the Development of Machine Skills and their Semantic Description
Authors: Köcher, Aljosha 
Hildebrandt, Constantin
Caesar, Birte
Bakakeu, Jupiter
Peschke, Jörn
Scholz, André
Fay, Alexander 
Language: eng
Issue Date: 2020
Publisher: IEEE
Document Type: Conference Object
Page Start: 1013
Page End: 1018
Published in (Book): 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Publisher Place: Piscataway
Conference: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 08-11 September 2020, Vienna, Austria
In order to approach the vision of quickly integrating new machines and their functionalities into a production plant, machines have to provide a machine-readable description of themselves and their functionalities. With such a description, it becomes possible to find required functions, check compatibility and, finally, execute production processes. In recent years, semantic web technologies have proven to be a promising enabler to realize such descriptions in the form of ontologies. But the creation of such an ontological description is an additional, tedious and error-prone task for a machine developer who might most likely not be an expert in semantic web technologies. In order to support developers in implementing machine function-alities as semantically described skills, we developed a method that highly automates all additional ontology-related tasks. The presented method makes use of information already contained in engineering artifacts, helps in adding additional information, and provides a framework to implement skill behavior. By using the proposed method, machine developers are put in a position to develop formal capability models themselves and with little additional effort.
Organization Units (connected with the publication): Automatisierungstechnik 
Publisher DOI: 10.1109/ETFA46521.2020.9211933
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