  Relational and noSQL storages are developed for the fast processing of the
large data sets having a stable structure, while the ontologies are used to
rep-resent complex and dynamic sets of information of a limited size. In the
in-dustrial applications it is often needed to maintain the large warehouses of
data consolidated from various sources. The ontologies are useful to repre-sent
the structure of that data, but RDF triple stores are not well suitable for
storing it. We offer an approach and a system allowing to use the
opportuni-ties of fast storage engines along with the flexibility of
ontology-based data management tools, including SPARQL queries. The system
implements a multi-model data abstraction layer which allows working with the
data as if it is situated in RDF triple store, executes SPARQL queries over it
and ap-plies SHACL constraints and rules.
