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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/18320

Title: Publishing Statistical Data following the Linked Open Data Principles: The Web Index Project
Author(s): Álvarez Rodríguez, José María
Clement, Jules
Labra Gayo, José Emilio
Farhan, Hania
Ordóñez de Pablos, Patricia
Keywords: Linked Data
Open Data
Semantic Web
Issue date: 2013
Publisher: IGI Global
Publisher version: http://dx.doi.org/10.4018/978-1-4666-2827-4.ch011
Citation: Cases on Open-Linked Data and Semantic Web Applications. IGi Global, 2013. p. 199-226
Series/Report no.: Cases on Open-Linked Data and Semantic Web Applications;1
Abstract: 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.
URI: http://hdl.handle.net/10651/18320
ISBN: 9781466628274
Appears in Collections:Capítulos de libros

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