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

Autor(es) y otros:
Álvarez Rodríguez, José MaríaAutoridad Uniovi; Clement, Jules; Labra Gayo, José EmilioAutoridad Uniovi; Farhan, Hania; Ordóñez de Pablos, PatriciaAutoridad Uniovi
Palabra(s) clave:

Linked Data

Open Data

Semantic Web

Statistics

Webindex

Webfoundation

Fecha de publicación:
2013
Editorial:

IGI Global

Versión del editor:
http://dx.doi.org/10.4018/978-1-4666-2827-4.ch011
Citación:
Cases on Open-Linked Data and Semantic Web Applications. IGi Global, 2013. p. 199-226
Serie:

Cases on Open-Linked Data and Semantic Web Applications;1

Resumen:

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.

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; 1466628278
DOI:
10.4018/978-1-4666-2827-4.ch011
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