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. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (Mai 2013)
F. Suchanek, G. Kasneci, und G. Weikum. Proceedings of the 16th international conference on World Wide Web, Seite 697--706. New York, NY, USA, ACM, (2007)