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http://dx.doi.org/10.5351/KJAS.2016.29.6.1007

Conditions and potentials of Korean history research based on 'big data' analysis: the beginning of 'digital history'  

Lee, Sangkuk (Department of History, Ajou University)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.6, 2016 , pp. 1007-1023 More about this Journal
Abstract
This paper explores the conditions and potential of newly designed and tried methodology of big data analysis that apply to Korean history subject matter. In order to advance them, we need to pay more attention to quantitative analysis methodologies over pre-existing qualitative analysis. To obtain our new challenge, I propose 'digital history' methods along with associated disciplines such as linguistics and computer science, data science and statistics, and visualization techniques. As one example, I apply interdisciplinary convergence approaches to the principle and mechanism of elite reproduction during the Korean medieval age. I propose how to compensate for a lack of historical material by applying a semi-supervised learning method, how to create a database that utilizes text-mining techniques, how to analyze quantitative data with statistical methods, and how to indicate analytical outcomes with intuitive visualization.
Keywords
big data; Korean history; digital history; interdisciplinary convergence; quantitative analysis;
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