@article{ART003307561},
author={Young Song and Kim Ji-Hyun},
title={A Study on Research Trends in Artificial Intelligence within Korean Academia},
journal={Journal of the Korean Society for Library and Information Science},
issn={1225-598X},
year={2026},
volume={60},
number={1},
pages={299-323}
TY - JOUR
AU - Young Song
AU - Kim Ji-Hyun
TI - A Study on Research Trends in Artificial Intelligence within Korean Academia
JO - Journal of the Korean Society for Library and Information Science
PY - 2026
VL - 60
IS - 1
PB - 한국문헌정보학회
SP - 299
EP - 323
SN - 1225-598X
AB - 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.
KW - Artificial Intelligence(AI);Research Trends;Bibliometrics;Interdisciplinary Convergence;R&D Policy
DO -
UR -
ER -
Young Song and Kim Ji-Hyun. (2026). A Study on Research Trends in Artificial Intelligence within Korean Academia. Journal of the Korean Society for Library and Information Science, 60(1), 299-323.
Young Song and Kim Ji-Hyun. 2026, "A Study on Research Trends in Artificial Intelligence within Korean Academia", Journal of the Korean Society for Library and Information Science, vol.60, no.1 pp.299-323.
Young Song, Kim Ji-Hyun "A Study on Research Trends in Artificial Intelligence within Korean Academia" Journal of the Korean Society for Library and Information Science 60.1 pp.299-323 (2026) : 299.
Young Song, Kim Ji-Hyun. A Study on Research Trends in Artificial Intelligence within Korean Academia. 2026; 60(1), 299-323.
Young Song and Kim Ji-Hyun. "A Study on Research Trends in Artificial Intelligence within Korean Academia" Journal of the Korean Society for Library and Information Science 60, no.1 (2026) : 299-323.
Young Song; Kim Ji-Hyun. A Study on Research Trends in Artificial Intelligence within Korean Academia. Journal of the Korean Society for Library and Information Science, 60(1), 299-323.
Young Song; Kim Ji-Hyun. A Study on Research Trends in Artificial Intelligence within Korean Academia. Journal of the Korean Society for Library and Information Science. 2026; 60(1) 299-323.
Young Song, Kim Ji-Hyun. A Study on Research Trends in Artificial Intelligence within Korean Academia. 2026; 60(1), 299-323.
Young Song and Kim Ji-Hyun. "A Study on Research Trends in Artificial Intelligence within Korean Academia" Journal of the Korean Society for Library and Information Science 60, no.1 (2026) : 299-323.
