Frank: The LOD cloud at your fingertips?. Beek, W. & Rietveld, L. 2015. abstract bibtex 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.
@misc{c0d3f8b79d574d49a286377515c14b7b,
title = "Frank: The LOD cloud at your fingertips?",
abstract = "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.",
author = "Wouter Beek and Laurens Rietveld",
year = "2015",
}
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