An approach for the incremental export of relational databases into RDF graphs
Authors: Konstantinou, Nikolaos 
Kouis, Dimitrios 
Spanos, Dimitrios - Emmanouel 
Mitrou, Nikolas 
Issue Date: 13-Apr-2015
Journal: International Journal on Artificial Intelligence Tools 
Volume: 24
Issue: 2
Keywords: Incremental, Linked open data, Mapping, RDF, Relational databases
Abstract: 
Several approaches have been proposed in the literature for offering RDF views over databases. In addition to these, a variety of tools exist that allow exporting database contents into RDF graphs. The approaches in the latter category have often been proved demonstrating better performance than the ones in the former. However, when database contents are exported into RDF, it is not always optimal or even necessary to export, or dump as this procedure is often called, the whole database contents every time. This paper investigates the problem of incremental generation and storage of the RDF graph that is the result of exporting relational database contents. In order to express mappings that associate tuples from the source database to triples in the resulting RDF graph, an implementation of the R2RML standard is subject to testing. Next, a methodology is proposed and described that enables incremental generation and storage of the RDF graph that originates from the source relational database contents. The performance of this methodology is assessed, through an extensive set of measurements. The paper concludes with a discussion regarding the authors' most important findings.
ISSN: 17936349
02182130
DOI: 10.1142/S0218213015400138
URI: https://uniwacris.uniwa.gr/handle/3000/65
Type: Article
Department: Department of Archival, Library and Information Studies 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

CORE Recommender
Show full item record

SCOPUSTM   
Citations 20

3
checked on Nov 1, 2024

Page view(s)

38
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.