書目資訊鏈結資料化方法之研究：書目本體論、鏈結型機讀編目與Schema.org

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

陳亞寧(Ya-Ning Chen)

《教育資料與圖書館學》 57卷3期 (2020/11) Pp. 379-412

https://doi.org/10.6120/JoEMLS.202011_57(3).0017.OR.AM

摘要

隨著鏈結資料的應用發展，如何將現有機讀編目格式資料轉變為鏈結資料已成為全球圖書資訊界（簡稱圖資界）探討議題之一。本文旨在隨著圖資界導入鏈結資料的演進歷史，分別選取三種機讀編目格式轉變為鏈結資料的方式與其個案為研究對象，再以全球資訊網協會鏈結資料工作手冊提出的發布鏈結資料作業項目及其他等八項為依據，分析上述方式及其個案的結果。本文個案包括批次大量轉變的大英圖書館與法國國家圖書館、鏈結型機讀編目格式的共享式虛擬探索環境及採用結構化資料標記綱要的圖書館鏈結網。結果發現初期圖資界重點在於以達成鏈結資料化的需求。之後，圖資界以鏈結資料驅動型資訊服務與網路曝光度為主要目標。

關鍵字

鏈結資料 ； 書目本體論 ； 鏈結型機讀編目 ； 結構化資料標記綱要

並列摘要

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.

並列關鍵字

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

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