The Semantic Asset Administration Shell
Publication date
2019-11
Document type
Book part
Author
Bader, Sebastian R.
Organisational unit
Universität Bonn
Scopus ID
ISBN
ISSN
E-ISSN
Conference
15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019
Series or journal
Lecture Notes in Computer Science
Periodical volume
11702
First page
159
Last page
174
Peer-reviewed
✅
Part of the university bibliography
Nein
Keyword
Asset Administration Shell
Data lifting
Industrie 4.0
Abstract
The disruptive potential of the upcoming digital transformations for the industrial manufacturing domain have led to several reference frameworks and numerous standardization approaches. On the other hand, the Semantic Web community has made significant contributions in the field, for instance on data and service description, integration of heterogeneous sources and devices, and AI techniques in distributed systems. These two streams of work are, however, mostly unrelated and only briefly regard the each others requirements, practices and terminology. We contribute to this gap by providing the Semantic Asset Administration Shell, an RDF-based representation of the Industrie 4.0 Component. We provide an ontology for the latest data model specification, created a RML mapping, supply resources to validate the RDF entities and introduce basic reasoning on the Asset Administration Shell data model. Furthermore, we discuss the different assumptions and presentation patterns, and analyze the implications of a semantic representation on the original data. We evaluate the thereby created overheads, and conclude that the semantic lifting is manageable, also for restricted or embedded devices, and therefore meets the conditions of Industrie 4.0 scenarios.
Version
Not applicable (or unknown)
Access right on openHSU
Metadata only access