바로가기메뉴

본문 바로가기 주메뉴 바로가기
 

Journal of the Korean Society for Library and Information Science

  • P-ISSN1225-598X
  • E-ISSN2982-6292

A Study on Research Trends in Artificial Intelligence within Korean Academia

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2026, v.60 no.1, pp.299-323
https://doi.org/10.4275/KSLIS.2026.60.1.299
Young Song
Ji-Hyun Kim

Abstract

Using KCI bibliographic data, this study bibliometrically investigates the diffusion patterns and knowledge structures of Artificial Intelligence (AI) research across academic disciplines in South Korea. Key terms were extracted via TF-IDF, and intellectual distances and content overlaps were measured using Cosine and Jaccard similarities along with Multidimensional Scaling (MDS). Knowledge openness was further evaluated through the E-I Index. Results indicate that domestic AI research entered a “quantitative expansion phase” post-2022, driven by interdisciplinary studies and the arts. Regarding knowledge structure, Social Sciences and Interdisciplinary Studies formed a “Dual-Hub.” Across all disciplines, a “Path-dependent Hybridity” emerged, where “instrumental universality” and “content specificity” coexist. Additionally, fields like Social Sciences and Engineering showed “convergence-led” structures, whereas Medical and Natural Sciences remained “specialized-depth.” These findings imply that Library and Information Science (LIS) should act as an architect of intelligent knowledge ecosystems by leading data governance. Consequently, the government should implement a “Two-track Strategy” that differentiates support based on these discipline-specific structural characteristics.

keywords
Artificial Intelligence(AI), Research Trends, Bibliometrics, Interdisciplinary Convergence, R&D Policy

Journal of the Korean Society for Library and Information Science