Abstract
The database (DB) landscape has been significantly diversified during the last decade, resulting in the emergence of a variety of non-relational (also called NoSQL) DBs, e.g., xml and json-document DBs, key-value stores, and graph DBs. To enable access to such data, we generalize the well-known ontology-based data access (OBDA) framework so as to allow for querying arbitrary data sources using sparql. We propose an architecture for a generalized OBDA system implementing the virtual approach. Then, to investigate feasibility of OBDA over non-relational DBs, we compare an implementation of an OBDA system over MongoDB, a popular json-document DB, with a triple store.
Cite
CITATION STYLE
Botoeva, E., Calvanese, D., Cogrel, B., Corman, J., & Xiao, G. (2018). A Generalized Framework for Ontology-Based Data Access. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11298 LNAI, pp. 166–180). Springer Verlag. https://doi.org/10.1007/978-3-030-03840-3_13
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