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.
Original language | English |
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Pages (from-to) | 41-46 |
Number of pages | 6 |
Journal | CEUR Workshop Proceedings |
Volume | 1361 |
Publication status | Published - 2015 |