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.
C. Kemp, and K. Ramamohanarao. Proceedings of the 6th European Conference on Principles
of Data Mining and Knowledge Discovery (PKDD 2002), page 263--274. Berlin, Springer, (2002)
T. Joachims, D. Freitag, and T. Mitchell. Proceedings of the International Joint Conference on
Artificial Intelligence (IJCAI), page 770--777. San Francisco, CA, Morgan Kaufmann, (1997)