A Generalized Framework for Ontology-based Data Access

Proc. of the 17th Int. Conf. of the Italian Assoc. for Artificial Intelligence (AI*IA 2018). Volume 11298 of Lecture Notes in Computer Science. 2018. Best paper award.

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.

@inproceedings{AIxIA-2018,
   title = "A Generalized Framework for Ontology-based Data Access",
   year = "2018",
   author = "Elena Botoeva and Diego Calvanese and Benjamin Cogrel and
Julien Corman and Guohui Xiao",
   booktitle = "Proc. of the 17th Int. Conf. of the Italian Assoc. for Artificial
Intelligence (AI*IA 2018)",
   pages = "166--180",
   volume = "11298",
   publisher = "Springer",
   series = "Lecture Notes in Computer Science",
   doi = "10.1007/978-3-030-03840-3_13",
   note = "Best paper award",
}