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A Generalized Framework for Ontology-Based Data Access

Botoeva, Elena, Calvanese, Diego, Cogrel, Benjamin, Corman, Julien, Xiao, Guohui (2018) A Generalized Framework for Ontology-Based Data Access. In: AI*IA 2018 – Advances in Artificial Intelligence, XVIIth International Conference of the Italian Association for Artificial Intelligence. Lecture Notes in Computer Science , 11298. pp. 166-180. Springer ISBN 978-3-030-03839-7. E-ISBN 978-3-030-03840-3. (doi:10.1007/978-3-030-03840-3_13) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91263)

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Official URL:
https://doi.org/10.1007/978-3-030-03840-3_13

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.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1007/978-3-030-03840-3_13
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Amy Boaler
Date Deposited: 02 Nov 2021 12:23 UTC
Last Modified: 04 Mar 2024 15:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91263 (The current URI for this page, for reference purposes)

University of Kent Author Information

Botoeva, Elena.

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