The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
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Measuring the Confidence of Human Disaster Risk Case based on Text Mining

텍스트마이닝 기반의 인적재난사고사례 신뢰도 측정연구

  • 이영재 (동국대학교 경영정보학과) ;
  • 이성수 (동국대학교 경영정보학과)
  • Received : 2011.04.13
  • Accepted : 2011.05.27
  • Published : 2011.09.30
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Abstract

Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.

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References

  1. 곽철완, "온톨로지 구축을 위한 인간의 지식구조 분석: 문헌정보학 영역을 중심으로," 한국도서관․정보학회지, 제36권, 제1호, 2005, pp. 459-477.
  2. 김현희.안태경, "온톨로지를 이용한 인터넷 웹 검색에 관한 실험적 연구," 정보관리학회지, 제20권, 제1호, 2003, pp.417-455.
  3. 김형수.김영걸.박찬욱, CRM 고객관계관리 전략: 원리와 응용, 사이텍미디어. 2009.
  4. 박소순, "확률.통계적 리스크분석을 활용한 인적재난 위험평가 기법 제안," 한국방재학회논문집, 제9권, 제6호, 2009, pp.57-68.
  5. 박지현.양재군.배재학, "기업 온톨로지를 활용한 작업흐름 변화 영향분석," 한국산업경영시스템학회지, 제31권, 제2호, 2008, pp.61-70.
  6. 박 흠, "사이버 범죄 수사를 위한 사이버 포렌식 범주 온톨로지," 한국해양정보통 신학회논문지, 제13권, 제8호, 2009, pp.1687-1692.
  7. 소방방재청 예방전략과, 2009 재난 연감, 2010.
  8. 유사라, "특정주제 정보관리를 위한 온톨로지 모형 연구," 정보관리학회지, 제24권, 제1호, 2007, pp.31-53. https://doi.org/10.3743/KOSIM.2007.24.1.031
  9. 이기철.김정훈.김동문.이지형, "유비쿼터스 환경의 상황인식 프레임워크를 위한 컨텍스트 온톨로지 정의," 퍼지 및 지능시스템학회 논문지, 제17권, 제2호, 2007, pp.202-207.
  10. 이민수, "산업 IT 서비스를 위한 Multi-resolution 기술 및 보안 관리 기술 연구," 정보보호학회지, 제19권, 제3호, 2009, pp.22-28.
  11. 이영재, 위기관리, 생능출판사, 2006.
  12. 이재규, 전문가 시스템 원리와 개발, 법영사, 1996.
  13. 정경용, "개인화 추천 시스템에서 연관 관계 군집에 의한 아이템 기반의 협력적 필터링 기술," 정보과학회논문지, 제31권, 제4호, 2004, pp.467-477.
  14. 정영미, 정보검색연구, 구미무역 출판부. 2005.
  15. Back, B., Laitinen, T., and Sere, k., "Neural Networks and Genetic Algorithms for Bankruptcy Predictions," Proceedings of The third World Congress on Expert Systems, 1996, pp.123-130.
  16. Fayyad, U.M., Piatetsky-Shapiro G., and Smyth P., From Data Mining to Knowledge Discovery: An Overview, Advances in Knowledge Discovery and Data Mining, AAAI Press, 1996.
  17. Gandhi, R., and Lee, S.W., "Discovering and Understanding Multi-dimensional Correlations among Certification Requirements with Application to Risk Assessment," Requirements Engineering Conference, 15th IEEE International, 2007, pp.231-240.
  18. Lee, S., Muthurajan, D., Gandhi, R., Yavagal, D., and Ahn, G., "Building Decision Support Problem Domain Ontology from Natural Language Requirements for Software Assurance," International Journal of Software Engineering and Knowledge Engineering, Vol.16, No.6, 2006, pp.851-884. https://doi.org/10.1142/S0218194006003051
  19. McNally, R.K., Yavagal, D., Xiang, W., and Lee, S.W., "Learning the Critical Infrastructure Interdependencies through an Ontology-Based Information System," Environment and Planning. B Planning & Design, Vol.34, No.6, 2007, pp.1103-1124. https://doi.org/10.1068/b32078
  20. Rungsawang, A., Tangpong, A., Laohawee, P., and Khampachua, T, Novel Query Expansion Technique using Apriori Algorithm, http://www.informatik.uni-trier.de/-ley/db/conf/trec/trec1999.html, 1999.
  21. Turban, E., Sharda, R., and Delen, D., Decision Support and Business Intelligence Systems, 9th Edition, Pearson Education, 2010.
  22. Wei, j., Bressan S., and Ooi B.C., "Mining Term Rules for Automatic Global Query Expansion: Methodology and Preliminary Results," Web Informaiton Systems Engineering, Proceeding of the First International Conference, 2000, pp.366-373.
  23. Yoshihito T., Tomomi A., Eriko N., Goichi I., Yasushi K., Kaoru T., and Norio S., "An Ontology-Based e-Learning Dystem for Network Security," Advanced Information Networking and Applications. AINA. 19th International Conference, Vol.1, 2005, pp.197-202.

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