The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

NoSQL Databases for RDF: An Empirical Evaluation

This paper explores NoSQL (“not only SQL”) databases as an alternative to optimizing native RDF or repurposing relational query engines for large-scale RDF processing. Though NoSQL systems are increasingly used to manage
RDF data, it is still difficult to grasp their key advantages and drawbacks
in this context. This work is, to the best of the authors' knowledge, the
first systematic attempt at characterizing and comparing NoSQL stores
for RDF processing.

URL: http://ribs.csres.utexas.edu/nosqlrdf/nosqlrdf_iswc2013.pdf
Keywords: Dataset, RDF, NoSQL, Berlin SPARQL Benchmark, DBpedia SPARQL Benchmark
Author: Wylot, Marcin
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

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NoSQL Databases for RDF: An Empirical Evaluation