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.
R. Studer, G. Stumme, S. Handschuh, A. Hotho, and B. Motik. New Trends in Knowledge Processing - Data Mining, Semantic Web and Computational Science. Proc. 6th Sanken International Symposium, page 31-34. Osaka, Japan, (March 2003)March 10-11, 2003.
B. Berendt, A. Hotho, and G. Stumme. Proceedings of the First International Semantic Web Conference: The Semantic Web (ISWC 2002), volume 2342 of Lecture Notes in Computer Science (LNCS), page 264-278. Sardinia, Italy, Springer, (2002)