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.
G. Buscher, A. Dengel, and L. van Elst. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 387--394. New York, NY, USA, ACM, (2008)
L. Granka, T. Joachims, and G. Gay. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 478--479. New York, NY, USA, ACM, (2004)