Publishing Statistical Data following the Linked Open Data Principles: The Web Index Project

Jose María Alvarez Rodríguez (University of Oviedo, Spain), Jules Clement (World Wide Web Foundation, Switzerland), José Emilio Labra Gayo (University of Oviedo, Spain), Hania Farhan (World Wide Web Foundation, Switzerland) and Patricia Ordoñez de Pablos (University of Oviedo, Spain)
Copyright: © 2013 |Pages: 28
EISBN13: 9781466648517|DOI: 10.4018/978-1-4666-2827-4.ch011
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This chapter introduces the promotion of statistical data to the Linked Open Data initiative in the context of the Web Index project. A framework for the publication of raw statistics and a method to convert them to Linked Data are also presented following the W3C standards RDF, SKOS, and OWL. This case study is focused on the Web Index project; launched by the Web Foundation, the Index is the first multi-dimensional measure of the growth, utility, and impact of the Web on people and nations. Finally, an evaluation of the advantages of using Linked Data to publish statistics is also presented in conjunction with a discussion and future steps sections.
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