WordPress as a framework for automated data capture, filtering and structuring processes

dc.centroFacultad de Filosofía y Letrases_ES
dc.contributor.authorRodríguez-Ortega, Nuria
dc.contributor.authorCruces-Rodríguez, Antonio
dc.contributor.authorTenor-Polo, Carmen
dc.date.accessioned2016-07-29T07:07:48Z
dc.date.available2016-07-29T07:07:48Z
dc.date.created2016
dc.date.issued2016-07-29
dc.departamentoHistoria del Arte
dc.description.abstractThe Exhibitium Project , awarded by the BBVA Foundation, is a data-driven project developed by an international consortium of research groups . One of its main objectives is to build a prototype that will serve as a base to produce a platform for the recording and exploitation of data about art-exhibitions available on the Internet . Therefore, our proposal aims to expose the methods, procedures and decision-making processes that have governed the technological implementation of this prototype, especially with regard to the reuse of WordPress (WP) as development framework.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Andalucía Tech. Fundación BBVA.es_ES
dc.identifier.orcidhttp://orcid.org/0000-0003-3460-397Xes_ES
dc.identifier.urihttp://hdl.handle.net/10630/11918
dc.language.isoenges_ES
dc.relation.eventdate12-07-2016es_ES
dc.relation.eventplaceCracoviaes_ES
dc.relation.eventtitleDigital Humanities Conferencees_ES
dc.rightsby-nc-nd
dc.rights.accessRightsopen accesses_ES
dc.subjectMinería de datoses_ES
dc.subject.otherDigital Art Historyes_ES
dc.subject.otherDigital Humanitieses_ES
dc.subject.otherTechnological Infrastructureses_ES
dc.subject.otherWeb mininges_ES
dc.titleWordPress as a framework for automated data capture, filtering and structuring processeses_ES
dc.title.alternativeWordPress como framework para la captura, filtro y estructuración de datoses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication106581e3-a925-4da6-be82-80072cd3ae1d
relation.isAuthorOfPublication869572a8-6184-4c76-8f0b-864aa9ac6596
relation.isAuthorOfPublication.latestForDiscovery106581e3-a925-4da6-be82-80072cd3ae1d

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