Earticle

초록

영어

The recent rise in the unstructured data generated by social media has resulted in an increasing need to collect, store, search, analyze, and visualize it. These data cannot be managed effectively by using traditional data analysis methodologies because of their vast volume and unstructured nature. Therefore, many attempts are being made to analyze these unstructured data (e.g., text files and log files) by using commercial and noncommercial analytical tools. Especially, the attempt to discover meaningful knowledge by using text mining is being made in business and other areas such as politics, economics, and cultural studies. For instance, several studies have examined pending national issues by analyzing large volumes of texts on various social issues. However, it is difficult to create satisfactory information services that can identify R&D documents on specific national issues from among the various R&D resources. In other words, although users specify some words related to pending national issues as search keywords, they usually fail to retrieve the R&D information they are looking for. This is usually because of the discrepancy between the terms defining pending national issues and the corresponding terms used in R&D documents. We need a mediating logic to overcome this discrep‘ancy so that we can identify and package appropriate R&D information on specific pending national issues. In this paper, we use association analysis and social network analysis to devise a mediator for bridging the gap between the keywords defining pending national issues and those used in R&D documents. Further, we propose a methodology for packaging R&D information services for pending national issues by using the devised mediator. Finally, in order to evaluate the practical applicability of the proposed methodology, we apply it to the NTIS(National Science & Technology Information Service) system, and summarize the results in the case study section.

목차

Abstract
 1. 서론
 2. 관련 연구
  2.1 텍스트 마이닝
  2.2 연관관계 분석
  2.3 소셜 네트워크분석
  2.4 국가 R&D 정보 서비스 현황
 3. 현안 대응 R&D 정보 패키징 방법론
  3.1 연구 범위 및 용어 정의
  3.2 현안 및 R&D 키워드 간 연관관계 분석
  3.3 연관 키워드 네트워크 분석
 4. 적용 사례
  4.1 분석 데이터 및 환경 소개
  4.2 현안 대응 NTIS R&D 정보 패키징
 5. 결론
 참고문헌

키워드

저자

• 현윤진 [ Yoonjin Hyun | 국민대학교 비즈니스IT전문대학원 석사과정 ]
• 한희준 [ Heejun Han | 한국과학기술정보연구원 NTIS센터 선임연구원 ]
• 최희석 [ Heeseok Choi | 한국과학기술정보연구원 NTIS센터 NTIS사업팀장 ]
• 박준형 [ Junhyung Park | 국민대학교 비즈니스IT전문대학원 석사과정 ]
• 이규하 [ Kyuha Lee | 국민대학교 비즈니스IT전문대학원 석사과정 ]
• 곽기영 [ Kee-Young Kwahk | 국민대학교 경영정보학부 교수 ]
• 김남규 [ Namgyu Kim | 국민대학교 경영정보학부 부교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005