LOD-a-lot democratizes the access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650K datasets (collected in LOD Laundromat) from a single self-indexed HDT file.
This corpus can be queried online with a sustainable Linked Data Fragments interface, or downloaded and consumed locally.
LOD-a-lot overview and data flow
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.
In addition, you can download the HDT additional index to speed up SPARQL queries.
If you find LOD-a-lot interesting, please cite this work as
“Fernández, J. D., Beek, W., Martínez-Prieto, M.A., and Arias, M. LOD-a-lot: A Queryable Dump of the LOD cloud (2017). http://purl.org/HDT/lod-a-lot.”