  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 each others requirements, practices
and terminology. We contribute to closing 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 needs of Industrie 4.0 scenarios.
