  Despite great advances in the area of Semantic Web, industry rather seldom
adopts Semantic Web technologies and their storage and query concepts. Instead,
relational databases (RDB) are often deployed to store business-critical data,
which are accessed via REST interfaces. Yet, some enterprises would greatly
benefit from Semantic Web related datasets which are usually represented with
the Resource Description Framework (RDF). To bridge this technology gap, we
propose a fully automatic approach that generates suitable RDB models with REST
APIs to access them. In our evaluation, generated databases from different RDF
datasets are examined and compared. Our findings show that the databases
sufficiently reflect their counterparts while the API is able to reproduce
rather simple SPARQL queries. Potentials for improvements are identified, for
example, the reduction of data redundancies in generated databases.
