The Web Science Trust

Semantics of Governmental Statistics Data

Vrandecic, Denny and Lange, Christoph and Hausenblas, Michael and Bao, Jie and Ding, Li (2010) Semantics of Governmental Statistics Data. In: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US.

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Abstract

A number of governments are starting to publish their statistical data online as Linked Data, using lightweight RDF vocabularies, such as SCOVO (Statistical Core Vocabulary) [1]. The semantics of the statistical data points, such as real-world concepts they describe, is typically not explicit in these representations. We propose to make the semantics explicit by grounding the statistical data in existing vocabularies for real-world concepts and mathematical functions. This enables the integration with computation infrastructure and fosters easy access to the enhanced expressivity in Wiki collaboration environments where the statistical vocabularies are developed.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:linked data, e-government, statistical data, ontologies, semantic web
Subjects:Web Science Events > Web Science 2010
ID Code:400
Deposited By: W S T Administrator
Deposited On:15 Mar 2010 10:18
Last Modified:25 Oct 2011 17:00

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