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Simplified RDB2RDF Mapping

: Stadler, Claus; Unbehauen, Joerg; Westphal, Patrick; Sherif, Mohamed Ahmed; Lehmann, Jens

Volltext ()

Bizer, Christian; Auer, Sören; Berners-Lee, Tim; Heath, Tom:
LDOW 2015, Linked Data on the Web. Online resource : Proceedings of the Workshop on Linked Data on the Web co-located with the 24th International World Wide Web Conference (WWW 2015) Florence, Italy, May 19th, 2015
Florence: CEUR, 2015 (CEUR Workshop Proceedings 1409)
ISSN: 1613-0073
9 S.
Workshop on Linked Data on the Web (LDOW) <2015, Florence>
International Conference on World Wide Web (WWW) <24, 2015, Florence>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

The combination of the advantages of widely used relational databases and semantic technologies has attracted significant research over the past decade. In particular, mapping languages for the conversion of databases to RDF knowledge bases have been developed and standardized in the form of
R2RML. In this article, we first review those mapping languages and then devise work towards a unified formal model for them. Based on this, we present the Sparqlification Mapping Language (SML), which provides an intuitive way to
declare mappings based on SQL VIEWS and SPARQL construct queries. We show that SML has the same expressivity as R2RML by enumerating the language features and show the correspondences, and we outline how one syntax can be converted into the other. A conducted user study for this paper juxtaposing SML and R2RML provides evidence that SML is a more compact syntax which is easier to understand and read and thus lowers the barrier to offer SPARQL access
to relational databases.