• Journal of Korean Society of Archives and Records Management
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• v.24 no.1
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• pp.47-72
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• 2024

This study delves into the National Archives of Korea's service that provides information on changes in records-creating agencies, identifying the problems in an organizational relationship structure and exploring potential enhancements using the RiC-O. Drawing insights from the French PIAAF project, we applied RiC-O to integrate information on records and records creators, elucidating relationships between data entities. Our analysis demonstrated that leveraging RiC-O, coupled with technologies like linked data, amplifies the interoperability of authority records, substantially enhancing the service providing information on changes in records-creating agencies. Based on these findings, we propose an authority record service based on RiC-O, presenting a prototype designed to improve the National Archives of Korea's change information service and enhance user experience.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.4
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• pp.1-17
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• 2020

Along with the development of information technology, the digitalization of archives has also been accelerating. However, digital archives have limitations in effectively searching, interlinking, and understanding records. In response to these issues, this study proposes a knowledge graph that represents comprehensive relationships among heterogeneous entities in digital archives. In this case, the knowledge graph organizes resources in the archives on the Korean financial crisis of 1997 by transforming them into named entities that can be discovered by machines. In particular, the study investigates and creates an overview of the characteristics of the archives on the Korean financial crisis as a digital archive. All resources on the archives are described as entities that have relationships with other entities using semantic vocabularies, such as Records in Contexts-Ontology (RiC-O). Moreover, the knowledge graph of the Korean Financial Crisis of 1997 is represented by resource description framework (RDF) vocabularies, a machine-readable format. Compared to conventional digital archives, the knowledge graph enables users to retrieve a specific entity with its semantic information and discover its relationships with other entities. As a result, the knowledge graph can be used for semantic search and various intelligent services.