A Faceted Data Model for Bibliographic Integration Between MARC and FRBR

Although MAchine Readable Cataloging (MARC) and Functional Requirements for Bibliographic Records (FRBR) are currently the most broadly used bibliographic structures for generating bibliographic data in the library community, each has its own weaknesses in describing information resources in diverse...

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Main Author: Lee, Seungmin
Format: Article
Language:English
Published: Korea Institute of Science and Technology Information 2013-03-01
Series:Journal of Information Science Theory and Practice
Subjects:
Online Access:http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201309449962683
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author Lee, Seungmin
author_facet Lee, Seungmin
author_sort Lee, Seungmin
collection DOAJ
description Although MAchine Readable Cataloging (MARC) and Functional Requirements for Bibliographic Records (FRBR) are currently the most broadly used bibliographic structures for generating bibliographic data in the library community, each has its own weaknesses in describing information resources in diverse media. If the MARC format could be implemented in a structure that reflects the multi-layered characteristics of FRBR, its use could address current problems and limitations in resource description. The purpose of this research is to propose an alternative approach that can integrate the heterogeneous bibliographic structures of MARC and FRBR through the applications of facet and facet analysis. The proposed faceted data model is expected to function as a conceptual structure that can mediate between MARC data elements and FRBR attributes in order to utilize these structures in a more reliable and comprehensive way.
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spelling doaj.art-b033bf4571604a17ae18b4c12c0eb1d72022-12-22T03:35:33ZengKorea Institute of Science and Technology InformationJournal of Information Science Theory and Practice2287-90992287-45772013-03-0111698222879099A Faceted Data Model for Bibliographic Integration Between MARC and FRBRLee, Seungmin0Chungnam National UniversityAlthough MAchine Readable Cataloging (MARC) and Functional Requirements for Bibliographic Records (FRBR) are currently the most broadly used bibliographic structures for generating bibliographic data in the library community, each has its own weaknesses in describing information resources in diverse media. If the MARC format could be implemented in a structure that reflects the multi-layered characteristics of FRBR, its use could address current problems and limitations in resource description. The purpose of this research is to propose an alternative approach that can integrate the heterogeneous bibliographic structures of MARC and FRBR through the applications of facet and facet analysis. The proposed faceted data model is expected to function as a conceptual structure that can mediate between MARC data elements and FRBR attributes in order to utilize these structures in a more reliable and comprehensive way.http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201309449962683MARCFRBRFacetFacet analysisIntegration
spellingShingle Lee, Seungmin
A Faceted Data Model for Bibliographic Integration Between MARC and FRBR
Journal of Information Science Theory and Practice
MARC
FRBR
Facet
Facet analysis
Integration
title A Faceted Data Model for Bibliographic Integration Between MARC and FRBR
title_full A Faceted Data Model for Bibliographic Integration Between MARC and FRBR
title_fullStr A Faceted Data Model for Bibliographic Integration Between MARC and FRBR
title_full_unstemmed A Faceted Data Model for Bibliographic Integration Between MARC and FRBR
title_short A Faceted Data Model for Bibliographic Integration Between MARC and FRBR
title_sort faceted data model for bibliographic integration between marc and frbr
topic MARC
FRBR
Facet
Facet analysis
Integration
url http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201309449962683
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