Digital repertoires of poetry metrics: towards a Linked Open Data ecosystem

Curado Malta, Mariana, González-Blanco García, Elena, Martínez Cantón, Clara Isabel y Rio Riande, Gimena del(2016) .Digital repertoires of poetry metrics: towards a Linked Open Data ecosystem. International Conference on Metadata and Semantics Research (10ª. 2016. Göttingen).En: Göttingen (Germany). (2016-11-22)

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Título de la Conferencia International Conference on Metadata and Semantics Research (10ª. 2016. Göttingen)
Fecha de inicio de la Conferencia 2016-11-22
Fecha fín de la Conferencia 2016-11-25
Lugar de la Conferencia Göttingen (Germany)
Detalles de la Conferencia 10th International Conference on Metadata and Semantics Research. 22-25 November 2016, Göttingen, Germany
Titulo Digital repertoires of poetry metrics: towards a Linked Open Data ecosystem
Autor(es) Curado Malta, Mariana
González-Blanco García, Elena
Martínez Cantón, Clara Isabel
Rio Riande, Gimena del
Materia(s) Filología
Abstract This paper presents work-in-progress of the POSTDATA project. This project aims to provide means to solve the interoperability issues that exist among the digital poetry repertoires. These repertoires hold data of poetry metrics that is locked in their own databases and it is not freely available to be compared and to be used by intelligent machines that could infer over the data. The POSTDATA project will use Linked Open Data (LOD) technologies to overcome the interoperability problems. POSTDATA is developing a metadata application prole (MAP) for the digital poetry repertoires, a construct that enhances interoperability. This development follows the method for the development of MAP (Me4MAP). A MAP for the digital poetry repertoires will open doors for these repertoires to be able to structure the data with a common model in order to publish it as Linked Open Data. This paper presents how this MAP is being developed so far.
Palabra clave digital humanities
Linked Open Data
metadata application profile
digital repertoires
Fecha 2016-01-01
Formato application/pdf
Identificador bibliuned:363-Egonzalez12
Total de paginas 11
Idioma eng
Versión de la publicación publishedVersion
Relacionado con el proyecto: info:eu-repo/grantAgreement/EC/H2020/ERC/SGT/679528/EU/postdata
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Creado: Mon, 16 Jan 2017, 20:52:14 CET