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.
M. Schulze. Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft Institut für Bibliotheks- und Informationswissenschaft der Humboldt-Universität zu Berlin, Berlin, (2008)
J. Koza, и J. Rice. International Joint Conference on Neural Networks,
IJCNN-91, II, стр. 397--404. Washington State Convention and Trade Center, Seattle,
WA, USA, IEEE Computer Society Press, (8-12 July 1991)