Methodological Guidelines for Publishing Library Data as Linked Data

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dc.contributor.authorHidalgo Delgado, Yusniel
dc.contributor.authorEstrada, Nelson
dc.contributor.authorXu, Bin
dc.contributor.authorVillazón Terrazas, Boris
dc.contributor.authorLeiva Mederos, Amed Abel
dc.contributor.authorTello, Andrés
dc.contributor.departmentProgramming Techniques Department, University of Informatics Sciences, Havana, Cubaen_US
dc.contributor.departmentProgramming Techniques Department, University of Informatics Sciences, Havana, Cubaen_US
dc.contributor.departmentDepartment of Computer Science and Technology, Tsinghua University, Beijing, Chinaen_US
dc.contributor.departmentArtificial Intelligence Research Division, Fujitsu Laboratories of Europe, Madrid, Spainen_US
dc.contributor.departmentLibrary and Information Sciences Department, Central University of Las Villas, Villa Clara, Cubaen_US
dc.contributor.departmentComputer Science Department, University of Cuenca, Cuenca, Ecuadoren_US
dc.coverage.spatialQuito, Ecuadoren_US
dc.date.accessioned2022-02-01T20:34:55Z
dc.date.available2022-02-01T20:34:55Z
dc.date.issued2017-11
dc.description.abstractPublishing 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 environmenten_US
dc.identifier.doi10.1109/INCISCOS.2017.17en_US
dc.identifier.isbn978-1-5386-2644-3en_US
dc.identifier.urihttps://dspace.uclv.edu.cu/handle/123456789/13287
dc.language.isoesen_US
dc.relation.conference2017 International Conference on Information Systems and Computer Science (INCISCOS)en_US
dc.rightsEste documento es Propiedad Patrimonial de la IEEE Computer Society Digital Library y se socializa en este Repositorio gracias a la política de acceso abierto del Congreso 2017 International Conference on Information Systems and Computer Science (INCISCOS). Nov. 23 2017 to Nov. 25 2017. Quito, Ecuadoren_US
dc.subjectBibliographic Metadataen_US
dc.subjectLinked Dataen_US
dc.subjectMethodological Guidelinesen_US
dc.subjectSemantic Weben_US
dc.subject.otherMetadatos Bibliográficosen_US
dc.subject.otherDatos Enlazadosen_US
dc.subject.otherLineamientos Metodológicosen_US
dc.subject.otherWeb Semánticaen_US
dc.subject.otherPublicación de Datos Bibliográficosen_US
dc.subject.otherRevistas de Acceso Abiertoen_US
dc.subject.otherCubaen_US
dc.titleMethodological Guidelines for Publishing Library Data as Linked Dataen_US
dc.typeProceedingsen_US

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