Earticle

초록

영어

The growing complication of regulations requires intelligent regulation management system, with support of information technology. In this research, we develop basic technology for analyzing rules and policies expressed in natural languages, in order to extract the regulatory attributes and automate data input process for regulation database. We analyze the frequency of verbs occurring in the regulation database, and focus on the most frequent types of regulations: ‘should submit,’ ‘should issue,’ and ‘may not’. Regex based approach and syntactic analysis approach are used for sentence structure analysis.

목차

Abstract
1. Introduction
2. Related Research
3. Regulation Attributes
4. Statistics of Regulation Texts
5. Grammatical Structure of Regulations
5.1 Analysis of “should submit” type sentence
5.2 Analysis of Example “Should Issue” Type Sentence
5.3 Analysis of Example “May Not” Type Sentence
6. Regex Based Approach
6.1 Regulation templates
6.2 Performance of Regex based approach
6.3 Remarks on Regex Based Approach
7. Syntactic Analysis Approach
7.1 POS tagging
7.2 Syntactic Analysis Procedure
7.3 Structure analysis
7.4 Performance of Syntactic Analysis Approach
7.5 Remarks on Syntactic Analysis Approach
8. Conclusion
REFERENCES

키워드

저자

• Yong Won Seo [ Professor, Dept. of Business, Chung-ang University ]
• Yerin Heo [ Master's Course, Dept. of Business, Chung-ang University ]
• Jungwook Kim [ Director, Center for Regulatory Studies, Korea Development Institute ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  정보화연구 [정보화연구(구 정보기술아키텍처연구)]

• 간기

  계간

• pISSN

  1738-382X

• 수록기간

  2004~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658