KJCKorea
Journal Central

This study aimed to improve the performance of duplicate verification algorithms for MARC records by applying AI technology. To overcome the limitations of existing rule-based algorithms, we utilized AI embedding models based on semantic similarity of text to vectorize MARC records and verify duplicate records through similarity search and semantic similarity analysis. The specific research methodology consisted of two phases. First, we implemented a duplicate verification algorithm for MARC records based on vector similarity search using embedding models and evaluated its performance using the same dataset as the prior study. Second, reflecting on the evaluation results of the initial experiment, we implemented an algorithm that maximizes the advantages of the embedding approach—specifically, identifying duplicate records caused by variations in string notation. For this purpose, we evaluated the algorithm’s performance using newly constructed experimental data and evaluation metrics. The experimental dataset was designed to reflect notational variations that may occur in actual library settings, applying eight transformation rules. The results of the first experiment showed that the rate of correctly identifying identical groups as duplicates improved compared to the prior study. However, the embedding approach revealed limitations in areas requiring precise matching of numbers and special characters, such as incorrectly judging multi-volume materials with different volume information as similar. The results of the second experiment, designed to validate the advantages of the embedding approach, demonstrated 100% identification of both duplicate records and transformation rules across the entire experimental dataset.

This study aims to effectively classify modern and subdivided Buddhism-related topics in the 6th ed. of the KDC and to improve classification tables that can improve user accessibility. The theoretical background of the study is that there is a practical logic that requires adjustment to the standard of refreshments in the amount of literature based on literary warrant, and the recent trend of publishing Buddhist-related materials is expanding to practical and convergent topics such as meditation and psychotherapy. However, KDC6 saw structural limitations in accepting these changes. Accordingly, the classification assignment ratio was examined by applying the publishing trend and literary warrant of Buddhist-related topics over the past five years in Korea. In addition, classification tables on Buddhism-related topics were compared and analyzed in KDC6, CLC5, and NDC10. Based on the analysis results, a classification table improvement (draft) that reinforces academic system and modern practicality was presented. To summarize the contents of the improvement (draft), first, it established the logical flow of ‘Buddhism￫Buddhist scriptures ￫history/people￫sect/organization￫performance(practice)￫culture/art￫society’. Second, by accepting the characteristics of CLC5 and NDC10, the Buddhist scriptures were subdivided into three-part systems of Scriptures, Precepts, and Doctrinal writings. Third, by modernizing performance (practice), new themes such as ‘meditation’ and ‘psychology’ were placed, and distributed items of similar topics were integrated. Fourth, the sect was organized according to ideological and historical trends, and Lamaism was integrated to secure logic.

This study examines how the fifth edition of the Korean Cataloging Rules (KCR 5) has reshaped cataloging practices for old and rare materials. It compares the structural principles and descriptive elements of KCR 4 and KCR 5, focusing on how each rule organizes bibliographic information and prioritizes descriptive components. Both sets of rules were applied to selected historical examples to reveal practical differences. KCR 4, grounded in a physical-item tradition, offers detailed descriptions of layout, frame size, and printing style—essential for identifying traditional Korean editions. In contrast, KCR 5 adopts the FRBR-LRM-based WEMI model, separating work, expression, manifestation, and item, thereby enhancing authority control and relational clarity. Yet this structural shift renders many physical and edition-specific details optional or relocated to note fields, reducing descriptive granularity. As shown in cases such as Donguibogam and Jeongsagongsin Jo on Sapae Wangji, key identifying features risk being obscured, underscoring both the strengths and the limitations of applying KCR 5 to rare materials.