Semantics of Governmental Statistics Data

A number of governments have started to publish their sta- tistical data online. Some of them are adhering to Linked Data principles, others are using other standards which of- ten can be transformed in order to be published as Linked Data. RDF vocabularies, such as SCOVO (Statistical Core Vocabulary) are being used for publishing the data. Many of the current translations of the statistical data are published using simple transformation approaches. The semantics of the statistical data points, such as the real-world concepts they describe, or how they have been derived, is typically not explicit in these transformations. We propose a path towards a collaborative approach for a posteriori explicit sense-making.

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Associated Projects

The LOGD project investigates the role of Semantic Web technologies, especially Linked Data, in producing, enhancing and utilizing government data published on Data.gov and other websites. Large portion of government data published on the Web are not necessarily ready for mashups. The Tetherless World Constellation (TWC) is now publishing over 8 billions RDF triples converted from hundreds of government-related datasets from Data.gov and other sources (e.g.

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