UnifiedViews: An ETL tool for RDF data management

Article type: Research Article

Authors: Knap, Tomáš^{a; b; *} | Hanečák, Peter^c | Klímek, Jakub^a | Mader, Christian^b | Nečaský, Martin^a | Van Nuffelen, Bert^d | Škoda, Petr^a

Affiliations: [a] Faculty of Mathematics and Physics, Charles University in Prague, Malostranské nám. 25, 118 00 Praha 1, Czech Republic. E-mail: [email protected] | [b] Semantic Web Company, Neubaugasse 1, 1070 Vienna, Austria. E-mail: [email protected] | [c] EEA s.r.o, Hattalova 12B, 831 03 Bratislava, Slovak Republic. E-mail: [email protected] | [d] TenForce bvba, Havenkant 38, 3000 Leuven, Belgium. E-mail: [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: We present UnifiedViews, an Extract-Transform-Load (ETL) framework that allows users to define, execute, monitor, debug, schedule, and share data processing tasks, which may employ custom plugins (data processing units) created by users. UnifiedViews natively supports processing of RDF data. In this paper, we: (1) introduce UnifiedViews’ basic concepts and features, (2) demonstrate the maturity of the tool by presenting exemplary projects where UnifiedViews is successfully deployed, and (3) outline research projects and future directions in which UnifiedViews is exploited. Based on our practical experience with the tool, we found that UnifiedViews simplifies the creation and maintenance of Linked Data publication processes.

Keywords: ETL, data management, data processing, RDF data, linked Data

DOI: 10.3233/SW-180291

Journal: Semantic Web, vol. 9, no. 5, pp. 661-676, 2018