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  4. How to feed the Squerall with RDF and other data nuts?
 
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2019
Conference Paper
Title

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

Abstract
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.
Author(s)
Mami, Mohamed Nadjib  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Graux, Damien  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Scerri, Simon  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Jabeen, Hajira
Universität Bonn/Germany
Auer, Sören  
TIB Hannover/Germany
Lehmann, Jens  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas). Proceedings. Online resource  
Conference
International Semantic Web Conference (ISWC) 2019  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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