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      텍스트 마이닝 기법을 이용한 환경 분야의 ICT 활용 연구 동향 분석 = A Study on Environmental research Trends by Information and Communications Technologies using Text-mining Technology

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      https://www.riss.kr/link?id=A103120199

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      다국어 초록 (Multilingual Abstract)

      This study quantitatively analyzed the research trends in the use of ICT of the environmental field using the text mining technique. To that end, the study collected 359 papers published in the past two decades (1996-2015) from the National Digital Science Library (NDSL) using 38 environment-related keywords and 16 ICT-related keywords. It processed the natural languages of the environment and ICT fields in the papers and reorganized the classification system into the unit of corpus. It conducted the text mining analysis techniques of frequency analysis, keyword analysis and the association rule analysis of keywords, based on the above-mentioned keywords of the classification system. As a result, the frequency of the keywords of `general environment` and `climate` accounted for 77 % of the total proportion and the keywords of `public convergence service` and `industrial convergence service` in the ICT field took up approximately 30 % of the total proportion. According to the time series analysis, the researches using ICT in the environmental field rapidly increased over the past 5 years (2011-2015) and the number of such researches more than doubled compared to the past (1996-2010). Based on the environmental field with generated association rules among the keywords, it was identified that the keyword `general environment` was using 16 ICT-based technologies and `climate` was using 14 ICT-based technologies.
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      This study quantitatively analyzed the research trends in the use of ICT of the environmental field using the text mining technique. To that end, the study collected 359 papers published in the past two decades (1996-2015) from the National Digital Sc...

      This study quantitatively analyzed the research trends in the use of ICT of the environmental field using the text mining technique. To that end, the study collected 359 papers published in the past two decades (1996-2015) from the National Digital Science Library (NDSL) using 38 environment-related keywords and 16 ICT-related keywords. It processed the natural languages of the environment and ICT fields in the papers and reorganized the classification system into the unit of corpus. It conducted the text mining analysis techniques of frequency analysis, keyword analysis and the association rule analysis of keywords, based on the above-mentioned keywords of the classification system. As a result, the frequency of the keywords of `general environment` and `climate` accounted for 77 % of the total proportion and the keywords of `public convergence service` and `industrial convergence service` in the ICT field took up approximately 30 % of the total proportion. According to the time series analysis, the researches using ICT in the environmental field rapidly increased over the past 5 years (2011-2015) and the number of such researches more than doubled compared to the past (1996-2010). Based on the environmental field with generated association rules among the keywords, it was identified that the keyword `general environment` was using 16 ICT-based technologies and `climate` was using 14 ICT-based technologies.

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      참고문헌 (Reference)

      1 전성해, "통계적 텍스트 마이닝을 이용한 빅 데이터 전처리" 한국지능시스템학회 25 (25): 470-476, 2015

      2 배규용, "텍스트 마이닝 기법을 활용한 기후변화관련 식품분야 논문초록 분석" 한국데이터정보과학회 24 (24): 1429-1437, 2013

      3 박희창, "연관 규칙 마이닝에서 기여 순수 신뢰도의 제안" 한국데이터정보과학회 22 (22): 235-243, 2011

      4 현윤진, "기후변화 및 식품 관련 뉴스기사의 텍스트 마이닝" 한국데이터정보과학회 26 (26): 419-427, 2015

      5 설성수, "기술분석의 고도화" 한국기술혁신학회 5 (5): 260-276, 2002

      6 Kambatla, K., "Trends in big data analytics" 74 : 2561-2573, 2014

      7 Ministry of Science, ICT and Future planning, "Rules of Information and Communications·Broadcast R&D management" Ministry of Science, ICT and Future planning 2014

      8 Bae, S.J., "Research on the possibility of application of technical information analysis of text mining method" 5 : 75-88, 2003

      9 "National Disaster Management Research Institute"

      10 "National Digital Science Library(NDSL)"

      1 전성해, "통계적 텍스트 마이닝을 이용한 빅 데이터 전처리" 한국지능시스템학회 25 (25): 470-476, 2015

      2 배규용, "텍스트 마이닝 기법을 활용한 기후변화관련 식품분야 논문초록 분석" 한국데이터정보과학회 24 (24): 1429-1437, 2013

      3 박희창, "연관 규칙 마이닝에서 기여 순수 신뢰도의 제안" 한국데이터정보과학회 22 (22): 235-243, 2011

      4 현윤진, "기후변화 및 식품 관련 뉴스기사의 텍스트 마이닝" 한국데이터정보과학회 26 (26): 419-427, 2015

      5 설성수, "기술분석의 고도화" 한국기술혁신학회 5 (5): 260-276, 2002

      6 Kambatla, K., "Trends in big data analytics" 74 : 2561-2573, 2014

      7 Ministry of Science, ICT and Future planning, "Rules of Information and Communications·Broadcast R&D management" Ministry of Science, ICT and Future planning 2014

      8 Bae, S.J., "Research on the possibility of application of technical information analysis of text mining method" 5 : 75-88, 2003

      9 "National Disaster Management Research Institute"

      10 "National Digital Science Library(NDSL)"

      11 "Korea Forest Service"

      12 "Institute for Information & communications Technology Promotion(IITP)"

      13 Korea Institute of Science and Technology Information(KISTI), "Establish of the technology analysis system using online DB searching" Ministry of Trade, Industry and Energy 2000

      14 Assunção, M.D., "Big Data computing and clouds: Trends and future directions" 79 : 3-15, 2015

      15 Lee, M.S., "Big Data Analysis on Demands for Environmental Policies" Korea Environment Institute 2014

      16 Berkhin, P., "A survey of clustering data mining techniques, Grouping multidimensional data" Springer Berlin Heidelberg 2006

      17 Park, C.R., "A Disaster Management System Using Text Mining Based on Social Network Service" 1 (1): 47-48, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-07-24 학술지등록 한글명 : 대한원격탐사학회지
      외국어명 : Korean Journal of Remote Sensing
      KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.52 0.52 0.54
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.53 0.44 0.725 0.12
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