Transformations of Bibliographic Data into Linked Data: Bibliographic Ontology

Ya Ning Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With advancement and application of linked data, it has become an issue how to transform existing MARC data into linked data in libraries. This paper aims to address three transformations from MARC into linked data in terms of evolutionary development of linked data in libraries. Eight tasks mainly borrowed from W3C’ Linked Data Cookbook have employed as a framework to analyze the cases of three approaches used in library for linked data transformation as follows: British National Bibliography of British Library and Bibliothèque nationale de France for batch transformation, Share Virtual Discovery Environment for linky MARC and Library Link Network for Schema.org. As a result, initially the transformation in libraries has focused on triplification of linked data. Later, libraries has emphasized on how to deliver linked data driven information services and expose linked data based bibliographic data for increasing the visibility indexed and value added by search engines.

Original languageEnglish
Pages (from-to)379-412
Number of pages34
JournalJournal of Educational Media and Library Sciences
Volume57
Issue number3
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Bibliographic Ontology
  • Linked Data
  • Linky MARC
  • Schema.org

ASJC Scopus subject areas

  • Conservation
  • Information Systems
  • Archaeology
  • Library and Information Sciences

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