LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650K datasets from a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or it can be downloaded and consumed locally: LOD-a-lot is easy to deploy and only requires limited resources (524 GB of disk space and 15.7 GB of RAM), enabling web-scale repeatable experimentation and research from a high-end laptop.
L. De Vine, G. Zuccon, B. Koopman, L. Sitbon, and P. Bruza. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, page 1819--1822. New York, NY, USA, ACM, (2014)