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Designing a FRBR Work Grouping Algorithm of Bibliographic Records using a Role Term Dictionary of Authors

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2020, v.37 no.2, pp.197-223
https://doi.org/10.3743/KOSIM.2020.37.2.197
Jaehyuk Yun
Seulki Do
Sam Gyun Oh
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Abstract

The purpose of this study is to analyze the issues resulted from the process of grouping KORMARC records using FRBR WORK concept and to suggest a new method. The previous studies did not sufficiently address the criteria or processes for identifying representative authors of records and their derivatives. Therefore, our study focused on devising a method of identifying the representative author when there are multiple contributors in a work. The study developed a method of identifying representative authors using an author role dictionary constructed by extracting role-terms from the statement of responsibility field (245). We also designed another way to group records as a work by calculating similarity measures of authors and titles. The accuracy rate of WORK grouping was the highest when blank spaces, parentheses, and controling processes were removed from titles and the measured similarity rates of authors and titles were higher than 80 percent. This was an experiment study where we developed an author-role dictionary that can be utilized in selecting a representative author and measured the similarity rate of authors and titles in order to achieve effective WORK grouping of KORMARC records. The future study will attempt to devise a way to improve the similarity measure of titles, incorporate FRBR Group 1 entities such as expression, manifestation and item data into the algorithm, and a method of improving the algorithm by utilizing other forms of MARC data that are widely used in Korea.

keywords
FRBRizing, Author roleterm dictionary, Work grouping, Representative author, Similarity of representative name and title, KORMARC to FRBRizing, 저자역할용어사전, 저작군집화, 대표저작자, 저자명표제유사도
Submission Date
2020-05-26
Revised Date
2020-06-11
Accepted Date
2020-06-22

Journal of the Korean Society for Information Management