Frank: Algorithmic Access to the LOD Cloud

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.