A Faceted Data Model for Bibliographic Integration Between MARC and FRBRopen access
- Authors
- 이승민
- Issue Date
- Mar-2013
- Publisher
- Korea Institute of Science and Technology Information
- Keywords
- MARC; FRBR; Facet; Facet analysis; Integration
- Citation
- Journal of Information Science Theory and Practice, v.1, no.1, pp 69 - 82
- Pages
- 14
- Journal Title
- Journal of Information Science Theory and Practice
- Volume
- 1
- Number
- 1
- Start Page
- 69
- End Page
- 82
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/41354
- DOI
- 10.1633/JISTaP.2013.1.1.5
- ISSN
- 2287-9099
- Abstract
- 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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Collections - College of Social Sciences > Department of Library & Information Science > 1. Journal Articles
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