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Korean Journal of Digital Humanities
- E-ISSN : 3058-311X
- Publisher : Korean Association for Digital Humanities
- CCL :
- KOREAN
- E-ISSN3058-311X
Latest Articles
Vol.2 No.2
3papers in this issue.
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Computational Thematic Analysis of Academic Representations of the Gisaeng in the Korea Citation Index (2000–2024)
César Augusto Ribas Ramírez ; Aurelia Martín Casares ; Eun Kyung Kang
pp.1-16
https://doi.org/10.23287/KJDH.2025.2.2.1
초록보기
Abstract
This article undertakes a computational thematic analysis of academic discourse on gisaeng (기생, 妓生) in contemporary scientific production in the Republic of Korea. The study draws on a corpus of 613 abstracts published in Korean between 2000 and 2024 in academic journals indexed in the Korea Citation Index (KCI), systematically pre-processed and analysed through the Ko-SRoBERTa model and BERTopic. By combining Korean natural language processing, semantic embeddings, dimensionality reduction, and unsupervised clustering, the analysis identified ten distinct topics, subsequently organized into four macro-themes: 1) Literature, 2) Performing Arts and traditional music, 3) Colonialism, modernity and exotization, and 4) Popular gisaeng The results reveal the predominance of literary and performative representations of these women, with particular emphasis on popular figures such as Hwang Jini and Chunhyang. Simultaneously, the findings underscore lack of academic studies. particularly regarding everyday lives, maternity, and vulnerabilities of gisaeng, which remain largely excluded from academia. The result reveals the interpretive potential of deep learning models in historiographical, cultural and gender analysis, not as a substitute for close reading but as complementary tools capable of mapping discursive patterns, silences, and emerging lines of inquiry. By tracing a thematic cartography of recent Korean academic production, this article contributes both to digital humanities methodology and to a more nuanced understanding of how the gisaeng are constructed in academic discourse, contested, and reconfigured in contemporary scholarship.
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Data-driven Semantic Modeling of Nam June Paik’s Artwork, A Tribute to John Cage : A LIDO-CIDOC CRM Case Study
Hyun-sook Kim
pp.17-30
https://doi.org/10.23287/KJDH.2025.2.2.2
초록보기
Abstract
This study focuses on the semantic modeling of Nam June Paik’s A Tribute to John Cage. The research conducted the end-to-end process, including data integration, semantic mapping, and transformation, followed by querying through SPARQL. In terms of semantically mapping and transformation, the standard controlled vocabularies such as LIDO Schema and CIDOC CRM were used. Ultimately, this study aims to explore the potential for semantic integration of Nam June Paik’s dispersed datasets and examine the extensibility and structuring of semantic data in the field of contemporary art.
