|Title:||Automating the Development of Machine Skills and their Semantic Description||Authors:||Köcher, Aljosha
|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||Abstract:||
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|
|Appears in Collections:||3 - Publication references (only metadata)|
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