Journal of Korean Society of Archives and Records Management 2023 KCI Impact Factor : 0.81
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pISSN : 1598-1487 / eISSN : 2671-7247
- https://journal.kci.go.kr/jksarm
KJCKorea
Journal Central
A Knowledge Graph of the Korean Financial Crisis of 1997: A Relationship-Oriented Approach to Digital Archives
- Journal of Korean Society of Archives and Records Management
- Abbr : JRMASK
- 2020, 20(4), pp.1~17
- DOI : 10.14404/JKSARM.2020.20.4.001
- Publisher : Korean Society of Archives and Records Management
- Research Area : Interdisciplinary Studies > Library and Information Science > Archival Studies / Conservation
- Received : October 21, 2020
- Accepted : November 9, 2020
- Published : November 30, 2020
Yu-kyeong Lee
1,
KIM HAK LAE
2
1중앙대학교 일반대학원 문헌정보학과 기록관리전공
2중앙대학교
Accredited
ABSTRACT
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.
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