Semantic statistics: Bringing together SDMX and SCOVO

Abstract

Whether it's population, income, unemployment or interest rates, statistical data is a fundamental source of information for analysis and visualisations. Many publishers of statistics use SDMX to represent statistics and make them available through web services. The linked data principles of identifying items with HTTP URIs and representing data using RDF provide some benefits (though also some costs) for statistical publishing. This paper describes how the SDMX information model can be used with linked data and RDF and describes some ongoing work to explore the impact of doing so. Copyright is held by the author/owner(s).