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.
CITATION STYLE
Beek, W., & Rietveld, L. (2015). Frank: The LOD cloud at your fingertips? In CEUR Workshop Proceedings (Vol. 1361, pp. 41–46). CEUR-WS.
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