2021/03/09 by Sergey Gorshkov, Gorshkov, Sergey, Alexander Y. Grebeshkov +3
Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2103.05538
openalex publication_date 2021/03/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.