Publication
Semantic Asset Administration Shell for Circular Economy
Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski
Mastersthesis, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), 2024.
Abstract
The need to shift from a linear economy to a circular economy (CE) is not only because of the decline in raw material resources, but also because of regulations and mandates for climate and environmental protection. Digital Twins serve as enablers for this shift. However, proprietary systems and data formats create interoperability barriers between stakeholders. In this context, the implementation of a standard Digital Twin is crucial, and the Asset Administration Shell (AAS) aims to solve these interoperability gaps. This work utilizes AAS and semantic technologies to address interoperability issues. SPARQL allows querying and retrieval of information for knowledge discovery. SHACL provides a flexible method for validating RDF data and ensuring its quality. Rule-based and Ontology-based reasoning can also aid in decision-making processes. By using the RDF representation of AAS, seamless integration with existing RDF models can be achieved. Furthermore, our work introduces the first RDF-JSON de-/serializer compatible with AAS metamodel version 3, which is crucial for the AAS community. Our approach enables complex knowledge discovery and inference for both IT experts and normal users through simplified user interfaces, which can be applied in the context of CE to improve visibility, transparency, and decision support, as demonstrated through a use case.