Our team in the Computer Science Department at the University of Oxford started out in 2011 with the mission to bring Semantic Technologies into business and industry. We developed RDFox, the optimised RDF-triple store and parallel Datalog reasoner, which allows users to store millions of triples in RAM and conduct fast parallel Datalog reasoning.
RDFox has been under continuous development for the past five years in which RDFox has grown into a mature application, fit for purpose. The data structures and algorithms have been continuously refined until all performance bottlenecks were identified and removed. RDFox has also been applied in several pilot industry projects for prestigious partners, such as Siemens, Statoil, Kaiser Permanente, Skyscanner and Arma Suisse during which the functionality has been extended to match business requirements.
Oxford Semantic Technologies combines expert know-how and the patented Oxford key technology RDFox to provide businesses with a tailored solution to access, process and analyse data.
Our paper "Foundations of Declarative Data Analysis Using Limit Datalog Programs", co-authored with Mark Kaminski and Egor V. Kostylev received the best paper award at the 26th International Joint Conference on Artificial Intelligence (IJCAI'17).