Building Linked Data For Both Humans and Machines

Presented at: Linked Data on the Web (LDOW2008)

by Wolfgang Halb, Yves Raimond, Michael Hausenblas

Webpage: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-369/paper06.pdf

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 over 500 million Europeans. 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 effciently 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.


Resource URI on the dog food server: http://data.semanticweb.org/workshop/LDOW/2008/paper/10


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