Building Linked Data For Both Humans and Machines

In this paper we describe our experience with building the riese dataset, an interlinked, RDF-based version of the Eurostat data, containing statistical data about the European Union. The riese dataset (http://riese.joanneum.at), aims at serving roughly 3 billion RDF triples, along with millions of high-quality interlinks. Our contribution is twofold: Firstly, we suggest using RDFa as the main deployment mechanism, hence serving both humans and machines to effectively and efficiently explore and use the dataset. Secondly, we introduce a new way of enriching the dataset with high-quality links: the User Contributed Interlinking, a Wiki-style way of adding semantic links to data pages.