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http://dx.doi.org/10.5762/KAIS.2021.22.3.651

A Study on the Development of Korean Defense Standards through Text Mining-Based Trend Analysis of United States Defense Standards  

Chae, Soohwan (Standardization Research Team 1, Standardization & Certification Research Division, Defense Agency for Technology and Quality)
Shim, Bohyun (Standardization Research Team 1, Standardization & Certification Research Division, Defense Agency for Technology and Quality)
Yeom, Seulki (Standardization Research Team 1, Standardization & Certification Research Division, Defense Agency for Technology and Quality)
Hong, Seongdon (Standardization Research Team 1, Standardization & Certification Research Division, Defense Agency for Technology and Quality)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.3, 2021 , pp. 651-660 More about this Journal
Abstract
This study examined the trend of standards established in the United States and to find points that can be applied to Korean defense standards. The titles of various United States defense standard documents registered on the web were selected for this research. The wordcloud was created after analyzing the frequency of words appearing in the title using text mining. The trend of words appearing in MIL-STD by era was obtained. This study identified words that appear often due to the format of the document itself, words that appear regularly throughout the era, words that are used frequently in the past but are not used much in the present, and words that did not receive attention in the past but appeared recurrently in the present. In addition, the characteristics of each document were derived through the wordcloud produced for various defense documents. In conclusion, Korean defense standards also require a consideration of safe and efficient management, transport, and load design of hazardous materials. Furthermore, the quality of defense standards can be expected to improve if the defense standard document system can be established, focusing on efficient management.
Keywords
Text Mining; Defense Standard; MIL-STD; Trend Analysis; Wordcloud;
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