Integrating Ontologies and Relational Databases for An Improved Data Access

Year 2022, Volume: 6 Issue: 2, 202 - 207, 30.12.2022

Aytuğ Türkmen , Özgü Can

Abstract

Today, recent rapid advancements and developments in information and communication technologies have enabled the number of connected devices to increase gradually. Thus, a significant amount of data from many sources has been produced as a result of the increase in connected devices. It is now more crucial than ever to access and draw conclusions from the data kept in relational database management systems. Ontology-Based Data Access (OBDA) is a hugely important paradigm for leveraging Semantic Web technologies to access data stored in relational databases. Users access data via a conceptual layer in the OBDA paradigm. Data is stored in relational databases and is represented by the conceptual layer as an RDF(S) or OWL ontology. In this paper, a demonstration for the integration of a relational database and an ontology is presented in order to provide an ontology-based data access. The goal of the presented demonstration is to serve as a roadmap for further research studies. For this purpose, a data set stored in MySQL relational database management system is accessed using the OBDA model. Further, the Ontop Framework that is compatible with the Protégé ontology development environment is used to provide the integration between the ontology and the relational database. Moreover, the Ontop queries are executed over SPARQL.

Keywords

Ontology, Data Access, Relational Databases, Semantic Web, SPARQL, Ontop

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