Ontology-based Data Access -- Beyond Relational Sources

Intelligenza Artificiale. 13(1):21--36 2019.

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.

@article{IntArt-2019,
   title = "Ontology-based Data Access -- Beyond Relational Sources",
   year = "2019",
   author = "Elena Botoeva and Diego Calvanese and Benjamin Cogrel and
Julien Corman and Guohui Xiao",
   journal = "Intelligenza Artificiale",
   pages = "21--36",
   number = "1",
   volume = "13",
   doi = "10.3233/IA-190023",
}