2025, Vol.36, No.2

Journal of the Korean Biblia Society for Library and Information Science 2024 KCI Impact Factor : 1.0

pISSN : 1229-2435 / eISSN : 2799-4767
https://journal.kci.go.kr/kbiblia

This study proposes a new conceptual approach for the sustainable management and organization of university cultural heritage by introducing a data linkage model based on LRMoo. Currently, the management of university heritage faces significant challenges due to inconsistencies in metadata standards among libraries, museums, and archives, which hinder the integration of research outputs and digital resources. By applying the object-oriented model LRMoo, this study explores how various assets—such as research papers, artifacts, and digital archives can be systematically organized and linked to academic research and global networks. The proposed model enables university cultural heritage to transition from passive preservation to active utilization in research and education. In the long term, it is expected to enhance interoperability among data and contribute to establishing a sustainable management system.

This study proposes a method for restructuring the object property model of BIBFRAME 2.5.0 ontology, developed by the Library of Congress, by applying property characteristics defined in the OWL 2 standard. Although BIBFRAME was designed to replace the MARC bibliographic format using RDF, the current ontology lacks systematic assignment of object property characteristics, limiting its semantic accuracy and reasoning capabilities. Accordingly, this study examines the applicability of six OWL 2 property characteristics—FunctionalProperty, SymmetricProperty, TransitiveProperty, AsymmetricProperty, ReflexiveProperty, and IrreflexiveProperty—to the object properties of BIBFRAME. The analysis revealed that some properties required functional constraints, others allowed multiple values, and several relationship properties needed transitive or asymmetric attributes. In particular, transitive and asymmetric characteristics proved essential for expressing complex resource relationships in detailed property groups. Additionally, a comparison of OWL axioms before and after the assignment showed that the total number of axioms increased by 58, including 43 logical axioms, demonstrating an enhancement in structural consistency and reasoning capability. Unlike previous studies focused mainly on structural analysis of BIBFRAME, this study presents a systematic method for enhancing the logical completeness of the ontology. Future research should empirically verify the effectiveness of this approach in bibliographic data transformation and query optimization.

This study aimed to develop a valid measurement tool to quantitatively assess the level of self-management among librarians and to examine the structural relationships among perceived self-management, job satisfaction, and organizational commitment. A survey was conducted with librarians working in public libraries located in Seoul, South Korea, and the collected data were analyzed using Structural Equation Modeling (SEM). The results of the analysis revealed the following: First, self-management among public library librarians had a positive effect on both job commitment and job satisfaction. Additionally, job commitment and job satisfaction had significant positive effects on organizational performance. Notably, job commitment and job satisfaction were identified as key factors in determining organizational performance. Various strategies to enhance these factors hold practical significance, as they can make a substantial contribution to improving organizational outcomes. It can be systematically developed as a training and coaching program for self-management at the organizational level of the library, and established as a key strategy for fostering an autonomous working environment.