An FRBR-based approach for transforming MARC records into linked data

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this study, a practical workflow is outlined for transforming MARC records into Linked Data according to classes and properties of FRBR and FRAD defined in the RDA Registry. Four bibliographic records of ‘Pride and Prejudice’ were selected as subject. One was in English and the others were Chinese records to illustrate the hidden relationships embedded in MARC records, including translation, version and reproduction, relationships between classes in FRBR group 1, and relationships between FRBR group 1 and FRAD for Linked Data. In total, the proposed workflow is composed of three stages and five tasks as follows: data preparation and selection (comprising two tasks, i.e., changing MARC tags into semantic labels with their data and selecting significant labels and their data for Linked Data), data modeling (comprising two tasks, i.e., aligning MARC labels and their data with semantic equivalent classes defined in the RDA Registry and building the relationships between selected classes through the properties of the RDA Registry), and reusing existing value vocabularies for external linking (comprising one task, such as linking terms from VIAF, TGN and so on). Issues related to de-duplication and collaboration of LD are also addressed.

原文英語
主出版物標題Challenges and Opportunities for Knowledge Organization in the Digital Age - Proceedings of the 15th International ISKO Conference
編輯Fernanda Ribeiro, Maria Elisa Cerveira
發行者Nomos Verlagsgesellschaft mbH und Co KG
頁面565-570
頁數6
ISBN(電子)9783956504204
出版狀態已發佈 - 2018
對外發佈
事件15th International Conference International Society for Knowledge Organization, ISKO 2018 - Porto, 葡萄牙
持續時間: 2018 7月 92018 7月 11

出版系列

名字Advances in Knowledge Organization
16
ISSN(列印)0938-5495

會議

會議15th International Conference International Society for Knowledge Organization, ISKO 2018
國家/地區葡萄牙
城市Porto
期間2018/07/092018/07/11

ASJC Scopus subject areas

  • 電腦科學應用
  • 資訊系統
  • 資訊系統與管理

指紋

深入研究「An FRBR-based approach for transforming MARC records into linked data」主題。共同形成了獨特的指紋。

引用此