Frank: Algorithmic Access to the LOD Cloud
published: July 15, 2015, recorded: May 2015, views: 1424
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Large-scale, algorithmic access to LOD Cloud data has been hampered by the absence of queryable endpoints for many datasets, a plethora of serialization formats, and an abundance of idiosyncrasies such as syntax errors. As of late, very large-scale – hundreds of thousands of document, tens of billions of triples access to RDF data has become possible thanks to the LOD Laundromat Web Service. In this paper we showcase Frank, a command-line interface to a very large collection of standards compliant, real-world RDF data that can be used to run Semantic Web experiments and stress-test Linked Data applications.
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