Programmable Analytics for Linked Open Data.
Bo Hu, Eduarda Mendes Rodrigues · 2014
LOD initiative has made a major impact on data provision. Thus far, more than 800 datasets have been published, con-taining tens of billions of RDF triples. The sheer size of data has not resulted in a significant increase of data con-sumption. We contend that a new programming paradigm is necessary to simplify LOD data utilisation. This paper reports an early phase development towards programmable web of LOD data. We propose to tap into a distributed computing environment underpinning the popular statistical toolkit R. Where possible, native R operators and functions are used in our approach so as to lower the learning curve. The crux of our future work lies in the full implementation and evaluation.