Semantics of Governmental Statistics Data

نویسندگان

  • Denny Vrandečić
  • Christoph Lange
  • Michael Hausenblas
  • Jie Bao
  • Li Ding
چکیده

A number of governments have started to publish their statistical data online. Some of them are adhering to Linked Data principles, others are using other standards which often 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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تاریخ انتشار 2010