Jiàoyù zīliào yǔ túshūguǎn xué (Nov 2020)

Transformations of Bibliographic Data into Linked Data: Bibliographic Ontology, Linky MARC and Schema.org

  • Ya-Ning Chen

DOI
https://doi.org/10.6120/JoEMLS.202011_57(3).0017.OR.AM
Journal volume & issue
Vol. 57, no. 3
pp. 379 – 412

Abstract

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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.

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