글로버메뉴 바로가기 본문 바로가기 하단메뉴 바로가기

논문검색은 역시 페이퍼서치

> 한국정보시스템학회 > 정보시스템연구 > 30권 1호

레그테크 기반의 자본시장 규제 해석 온톨로지 및 딥러닝 기술 개발을 위한 제언

Suggestions for the Development of RegTech Based Ontology and Deep Learning Technology to Interpret Capital Market Regulations

최승욱 ( Choi Seung Uk ) , 권오병 ( Kwon Oh Byung )

- 발행기관 : 한국정보시스템학회

- 발행년도 : 2021

- 간행물 : 정보시스템연구, 30권 1호

- 페이지 : pp.65-84 ( 총 20 페이지 )


학술발표대회집, 워크숍 자료집 중 1,2 페이지 논문은 ‘요약’만 제공되는 경우가 있으니,

구매 전에 간행물명, 페이지 수 확인 부탁 드립니다.

6,000
논문제목
초록(외국어)
Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

논문정보
  • - 주제 : 사회과학분야 > 경영학
  • - 발행기관 : 한국정보시스템학회
  • - 간행물 : 정보시스템연구, 30권 1호
  • - 발행년도 : 2021
  • - 페이지 : pp.65-84 ( 총 20 페이지 )
  • - UCI(KEPA) :
저널정보
  • - 주제 : 사회과학분야 > 경영학
  • - 성격 : 학술지
  • - 간기 : 계간
  • - 국내 등재 : KCI 등재
  • - 해외 등재 : -
  • - ISSN : 1229-8476
  • - 수록범위 : 1992–2021
  • - 수록 논문수 : 883