• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM)


Philip Wootaek Shin, Jinhee Lee, Jeongwoo Kim, Dongsun Shin, Youngsang Lee, Seung Ho Hwang, Journal of Internet Computing and Services, Vol. 21, No. 1, pp. 169-178, Feb. 2020
10.7472/jksii.2020.21.1.169, Full Text:
Keywords: National Defense, Metadata, Natural Language Processing, Standardized Dictionary, Metadata Management, Big data, Artificial intelligence, Machine Learning

Abstract

The reductions of troops/human resources, and improvement in combat power have made Korean Department of Defense actively adapt 4th Industrial Revolution technology (Artificial Intelligence, Big Data). The defense information system has been developed in various ways according to the task and the uniqueness of each military. In order to take full advantage of the 4th Industrial Revolution technology, it is necessary to improve the closed defense datamanagement system.However, the establishment and usage of data standards in all information systems for the utilization of defense big data and artificial intelligence has limitations due to security issues, business characteristics of each military, anddifficulty in standardizing large-scale systems. Based on the interworking requirements of each system, data sharing is limited through direct linkage through interoperability agreement between systems. In order to implement smart defense using the 4th Industrial Revolution technology, it is urgent to prepare a system that can share defense data and make good use of it. To technically support the defense, it is critical to develop Multi Repository Meta-Data Management (MRMM) that supports systematic standard management of defense data that manages enterprise standard and standard mapping for each system and promotes data interoperability through linkage between standards which obeys the Defense Interoperability Management Development Guidelines. We introduced MRMM, and implemented by using vocabulary similarity using machine learning and statistical approach. Based on MRMM, We expect to simplify the standardization integration of all military databases using artificial intelligence and bigdata. This will lead to huge reduction of defense budget while increasing combat power for implementing smart defense.


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Cite this article
[APA Style]
Philip Wootaek Shin, Jinhee Lee, Jeongwoo Kim, Dongsun Shin, Youngsang Lee, & Seung Ho Hwang (2020). A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM). Journal of Internet Computing and Services, 21(1), 169-178. DOI: 10.7472/jksii.2020.21.1.169.

[IEEE Style]
P. W. Shin, J. Lee, J. Kim, D. Shin, Y. Lee and S. H. Hwang, "A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM)," Journal of Internet Computing and Services, vol. 21, no. 1, pp. 169-178, 2020. DOI: 10.7472/jksii.2020.21.1.169.

[ACM Style]
Philip Wootaek Shin, Jinhee Lee, Jeongwoo Kim, Dongsun Shin, Youngsang Lee, and Seung Ho Hwang. 2020. A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM). Journal of Internet Computing and Services, 21, 1, (2020), 169-178. DOI: 10.7472/jksii.2020.21.1.169.