Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

How to feed the Squerall with RDF and other data nuts?

: Mami, Mohamed Nadjib; Graux, Damien; Scerri, Simon; Jabeen, Hajira; Auer, Soeren; Lehmann, Jens

Volltext (PDF; )

Suárez-Figueroa, M.C.:
ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas). Proceedings. Online resource : Co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019
Auckland, 2019 (CEUR Workshop Proceedings 2456)
International Semantic Web Conference (ISWC) <18, 2019, Auckland>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Advances in Data Management methods have resulted in a wide array of storage solutions having varying query capabilities and supporting different data formats. Traditionally, heterogeneous data was transformed off-line into a unique format and migrated to a unique data management system, before being uniformly queried. However, with the increasing amount of heterogeneous data sources, many of which are dynamic, modern applications prefer accessing directly the original fresh data. Addressing this requirement, we designed and developed Squerall, a software framework that enables the querying of original large and heterogeneous data on-the-y without prior data transformation. Squerall is built from the ground up with extensibility in consideration, e.g., supporting more data sources. Here, we explain Squerall's extensibility aspect and demonstrate step-by-step how to add support for RDF data, a new extension to the previously supported range of data sources.