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Design and Implementation of Real-Time Research Trend Analysis System Using Author Keyword of Articles

논문의 저자 키워드를 이용한 실시간 연구동향 분석시스템 설계 및 구현

  • 김영찬 (전남대학교 전기및반도체공학과) ;
  • 진병삼 (전남대학교 전기및반도체공학과) ;
  • 배영철 (전남대학교 전기및반도체공학과)
  • Received : 2017.12.07
  • Accepted : 2018.02.15
  • Published : 2018.02.28

Abstract

The authors' author keywords are the most important elements that characterize the contents of the paper, By analyzing this in real time and providing it to users, It is possible to grasp research trends. Unstructured data of a journal created in a paper is constructed as a database, make use of this to make index data structure that can search in real time. In the index data structure, a thesis containing a specific keyword is searched, By extracting and clustering the author keywords, By presenting to the user a word cloud that can be displayed by size according to the weight, designed a method to visualize research trends. We also present the results of the research trend analysis of the keywords "virus" and "iris recognition" in the implemented system.

저자가 작성하는 논문의 저자 키워드는 논문 내용의 특징을 나타내는 가장 중요한 요소이며, 이를 실시간으로 분석하여 사용자에게 제공하게 함으로써, 연구동향을 파악하는 것이 가능하다. 서지로 작성된 논문의 비정형 데이터를 데이터베이스로 구축 하고, 이를 활용하여 실시간 탐색이 가능하도록 색인데이터 구조를 만든다. 특정 키워드가 포함된 논문을 색인데이터 구조에서 탐색하고, 저자키워드를 대상으로 추출, 클러스터링 하여 가중치에 따라 크기별로 나타낼 수 있는 워드클라우드로 사용자에게 제공하여, 연구동향을 가시화 하는 방법을 설계하였다. 또한, 구현된 시스템에서 "바이러스"와 "홍채인식" 키워드를 통하여 연구동향 분석 결과를 제시하였다.

Keywords

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