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Journal of Statistical Computing and Algorithm

Volume 2, No. 1, 2018, pp 7-12
http://dx.doi.org/10.21742/jsca.2018.2.1.02

Abstract



Application of Big data for Development of Korean Christian research



    John So1 , Byoung-Bae Hwang2
    1Myongji University, 2Hyupsung University
    1soyohan@mju.ac.kr, 2servanthwang@naver.com

    Abstract

    This study is an interdisciplinary integration study to expand the field of theology as an attempt to apply Database to Korean church history. As a first step for this purpose, we made a Road map for the collection and access of the Database by re-recognizing the necessity of the existing Primary source through the structure of Korean church history. Based on the road map, the data are collected and summarized in order to utilize the primary source in the modern era. However, such electronic data may be more difficult to research that collected data if it is too large, and when the data stored in one place is not backed up, the data may be lost due to unexpected errors in a moment. In addition, there is still access and some risk factors, such as the failure of individual devices and the limitations of Internet access. What should be done to overcome this and develop Korean church history research should be a system to classify and organize data, and to create a system to store, identify and classify atypical structures. Through this, we will make the Primary source into a Big Data and create the expectation effect that can be used not only in the field of the church but also in various theological fields.


 

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