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Utilizing Ontological Classification Systems and Reasoning for Cyber-Physical Systems

Zander, Stefan; Hua, Yingbing

Abstract:
This work presents a novel ontology-based approach for the complementation of technical specifications of cyber-physical system components using ontological classification and reasoning. We build on the AutomationML standard and outline how data represented with it can be transformed into an RDF instance graph. We exemplarily show how complementary information about a component’s functionality, its operation environment and purpose can be inferred through a combination of automatic classification with the linkage of different domain classification systems. The general applicability of the presented approach is demonstrated by a concrete use case from the ReApp project.


Zugehörige Institution(en) am KIT Forschungszentrum Informatik, Karlsruhe (FZI)
Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Jahr 2017
Sprache Englisch
Identifikator ISSN: 2194-1629
URN: urn:nbn:de:swb:90-765506
KITopen ID: 1000076550
Erschienen in Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February 2016. Ed.: P. Hottum
Verlag KIT, Karlsruhe
Seiten 176-183
Serie KIT Scientific Working Papers ; 69
URLs Gesamtwerk
Schlagworte Industry 4.0, Knowledge Representation, Cyber-Physical Systems, Semantic Web Technologies, AI Reasoning Methods
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