Browse > Article
http://dx.doi.org/10.1633/JISTaP.2013.1.1.5

A Faceted Data Model for Bibliographic Integration Between MARC and FRBR  

Lee, Seungmin (Chungnam National University)
Publication Information
Journal of Information Science Theory and Practice / v.1, no.1, 2013 , pp. 69-82 More about this Journal
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.
Keywords
MARC; FRBR; Facet; Facet analysis; Integration;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Delsey, T. (1998). The logical structure of the Anglo- American Cataloguing Rules-Part I, Drafted for the Joint Steering Committee for Revision of AACR. Retrieved from www.rda-jsc.org/docs/aacr.pdf
2 Harter, S. P. (1986). Online information retrieval: Concepts, principles, and techniques. New York: Academic Press.
3 Hodge, G. (2005). Metadata for electronic information resources: From variety to interoperability. Infor-mation Services & Use, 25(1), 35-45.   DOI
4 IFLA Study Group (1998). Functional requirements for bibliographic records, final report. IFLA Study Group on the Functional Requirements for Bibliographic Records.
5 Kumar, P. S. G. (1987). Introduction to colon classification. Nagpur, India: Dattsons.
6 Kurth, M., Ruddy, D., & Rupp, N. (2004). Repurposing MARC metadata: Using digital project experience to develop a metadata management design. Library Hi Tech, 22(2), 153-165.   DOI   ScienceOn
7 Moen, W. E. (2004). Metadata interaction, integration, and interoperability [PowerPoint slides]. In National Information Standards Organization (NISO) Workshop: Metadata Practices on the Cutting Edge, Washington, DC.
8 Moen, W. E. & Benardino, P. (2003). Assessing metadata utilization: An analysis of MARC content designation use. In Proceedings of International Conference on Dublin Core and Metadata Applications, DC-2003, Seattle, WA, (pp. 171- 180). Retrieved December 12, 2012 from http://dcpapers. dublin core .org / ojs/pubs/article/ view/745/741.
9 Priss, U., & Jacob, E. K. (1998). A graphical interface for faceted thesaurus design. In Procee- dings of the 9th ASIS SIG/CR Classification Research Workshop, (pp. 107-118). Silver Spring, MD: American Society for Information Science.
10 Ranganathan, S. R. (1962). Elements of library of classification. Bangalore: Sarada Ranganathan Endow-ment for Library Science.
11 Ranganathan, S. R. (1967). Prolegomena to library classification. New York Asia Publishing House.
12 Svenonius, E. (2000). The intellectual foundation of information organization. (3rd ed.) Cambridge, MA: MIT Press.
13 Taylor, A. G. (1992). The organization of information. Englewood, CO: Libraries Unlimited.
14 Tennant, R. (2004). A bibliographic metadata infrastructure for the 21st century. Library Hi Tech, 22(2), 175-181.   DOI   ScienceOn
15 Aalberg, T. (2005). From MARC to FRBR: A case study in the use of the FRBR model on the BIBSYS database [PowerPoint slides]. Retrieved from www. fla.fi/ frbr05/aalberg2BIBSYSfrbrized.pdf
16 Chan, L. M., & Zeng, M. L. (2006). Metadata interoperability and standardization - a study of methodology, Part I: Achieving interoperability at the schema level. D-Lib Magazine, 12(6). Retrieved from http://www.dlib.org/dlib/june06/chan/ 06chan.html