대한산업공학회지 (Journal of Korean Institute of Industrial Engineers)

  • 제41권1호
  • /
  • Pages.64-73
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  • 2015
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  • 1225-0988(pISSN)
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  • 2234-6457(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
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공간빅데이터 연구 동향 파악을 위한 토픽모형 분석

Topic Model Analysis of Research Trend on Spatial Big Data

  • 이원상 (연세대학교 공과대학 정보산업공학과) ;
  • 손소영 (연세대학교 공과대학 정보산업공학과)
  • Lee, Won Sang (Department of Information and Industrial Engineering, Yonsei University) ;
  • Sohn, So Young (Department of Information and Industrial Engineering, Yonsei University)
  • 투고 : 2014.09.25
  • 심사 : 2014.12.08
  • 발행 : 2015.02.15
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초록

Recent emergence of spatial big data attracts the attention of various research groups. This paper analyzes the research trend on spatial big data by text mining the related Scopus DB. We apply topic model and network analysis to the extracted abstracts of articles related to spatial big data. It was observed that optics, astronomy, and computer science are the major areas of spatial big data analysis. The major topics discovered from the articles are related to mobile/cloud/smart service of spatial big data in urban setting. Trends of discovered topics are provided over periods along with the results of topic network. We expect that uncovered areas of spatial big data research can be further explored.

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참고문헌

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