paper193-social

LOD-a-lot: A Queryable Dump of the LOD cloud Javier D. Fernández, Wouter Beek, Miguel A. Martinez-Prieto and Mario Arias Resource October 24, 2017, 10:50. Stolz 1 Download paper (preprint)

Abstract

LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650K datasets over a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally: LOD-a-lot is easy to deploy and demands affordable resources (524 GB of disk space and 15.7 GB of RAM), enabling Web- scale repeatable experimentation and research even by standard laptops.