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.
Babelfy is a unified graph-based approach to multilingual Entity Linking and Word Sense Disambiguation based on a loose identification of candidate meanings coupled with a densest subgraph heuristic which selects high-coherence semantic interpretations.
M. Strohbach, A. Wiesmaier, and A. Mittelbach. Big Stream Processing Systems (Dagstuhl Seminar 17441), volume 7 of Dagstuhl Seminar, chapter Overview of Talks, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, (2018)