The authors of this paper believe that the possibility to use SPARQL as a front end to heterogeneous data without significant cost in performance or expressive power is key to RDF taking its rightful place as the "lingua franca" of data integration. To this effect, they demonstrate how RDF and SPARQL can tackle a mix of standard relational workload and data mining in public data sources.

URL: http://www.researchgate.net/publication/220854085_Integrating_Open_Sources_and_Relational_Data_with_SPARQL
Keywords: RDBMS, SQL, R2RML, SPARQL, Triple store
Author: Erling, Orri
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

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