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

dc.contributor.authorÁlvarez Rodríguez, José María 
dc.contributor.authorClement, Jules
dc.contributor.authorLabra Gayo, José Emilio 
dc.contributor.authorFarhan, Hania
dc.contributor.authorOrdóñez de Pablos, Patricia 
dc.date.accessioned2013-08-21T10:38:23Z
dc.date.available2013-08-21T10:38:23Z
dc.date.issued2013
dc.identifier.citationCases on Open-Linked Data and Semantic Web Applications. IGi Global, 2013. p. 199-226
dc.identifier.isbn9781466628274
dc.identifier.isbn1466628278
dc.identifier.urihttp://hdl.handle.net/10651/18320
dc.description.abstractThis 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.spa
dc.language.isoeng
dc.publisherIGI Globalspa
dc.relation.ispartofseriesCases on Open-Linked Data and Semantic Web Applications;1
dc.subjectLinked Dataspa
dc.subjectOpen Dataspa
dc.subjectSemantic Webspa
dc.subjectStatisticsspa
dc.subjectWebindexspa
dc.subjectWebfoundationspa
dc.titlePublishing Statistical Data following the Linked Open Data Principles: The Web Index Projectspa
dc.typebook partspa
dc.identifier.doi10.4018/978-1-4666-2827-4.ch011
dc.relation.publisherversionhttp://dx.doi.org/10.4018/978-1-4666-2827-4.ch011


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