Methodological guidelines for publishing library data as linked data

Yusniel Hidalgo-Delgado, Reina Estrada-Nelson, Bin Xu, Boris Villazon-Terrazas, Amed Leiva-Mederos, Andres Tello

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

Publishing data as Linked Data increases the interoperability and discoverability of resources over the web space. This process involves several design decisions and technologies. However, there is no one-size-fits-all formula for publishing data as Linked Data. Also, the quality of linked data published is a key issue to take into account. In the library domain, the quality of linked data is a crucial point for improving the retrieval and use of the data. In this paper, we propose a set of methodological guidelines based on five activities for publishing library data as Linked Data. The proposed guidelines consider the quality of published data as a key issue. In this line, our approach includes a preprocessing task for data cleansing and normalization. The proposed approach has been applied in a use case for publishing bibliographic data from Open Access journals in Cuba. The results obtained show the applicability of the methodological guidelines proposed in a real environment.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas241-246
Número de páginas6
ISBN (versión digital)9781538626443
DOI
EstadoPublicada - 2 jul. 2017
Publicado de forma externa
Evento2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador
Duración: 23 nov. 201725 nov. 2017

Serie de la publicación

NombreProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Volumen2017-November

Conferencia

Conferencia2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
País/TerritorioEcuador
CiudadQuito
Período23/11/1725/11/17

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