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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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-246
Number of pages6
ISBN (Electronic)9781538626443
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador
Duration: 23 Nov 201725 Nov 2017

Publication series

NameProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Volume2017-November

Conference

Conference2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
Country/TerritoryEcuador
CityQuito
Period23/11/1725/11/17

Keywords

  • bibliographic metadata
  • linked data
  • methodological guidelines
  • semantic web

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