Journal of Korean Library and Information Science Society (한국도서관정보학회지)

Korean Library and Information Science Society (한국도서관정보학회)
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Analysis of Research Topics among Library, Archives and Museums using Topic Modeling

토픽 모델링을 활용한 도서관, 기록관, 박물관간의 연구 주제 분석

  • 김희섭 (경북대학교 문헌정보학과) ;
  • 강보라 (경북대학교 문헌정보학과)
  • Received : 2019.11.20
  • Accepted : 2019.12.12
  • Published : 2019.12.30
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Abstract

The purpose of this study is to understand the topics of the research for the establishment of cooperative platform between libraries, archives, and museums that carry out the common task of providing knowledge information in a broad sense. To achieve the purpose of this study, 637 bibliographic information on three institutions were collected from the Web version of Scopus database. Among the collected bibliographic information, 5,218 words were extracted through NetMiner V.4 and analysed topic modeling. The results are as follows: First, as a result of analyzing the frequency of word appearance according to the tf-idf weight 'Preservation' was the most hottest topic. Second, the topic modeling analysis through LDA(Latent Dirichlet Allocation) algorithm resulted in 13 topic areas. Third, as a result of expressing 13 topic areas as a network, repository construction was the central topic, and the research topics such as cooperation among institutions, conservation environment for collections, system and policy discovery, life cycle of collections, exhibition of information resources, and information retrieval were closely related to the central topic. Fourth, the trend of 13 topic areas by year 1998 is limited to the specific subjects such as system and policy discovery, information retrieval, and life cycle of collections, while the subsequent studies have been carried out after that year.

본 연구의 목적은 광의의 측면에서 지식정보제공이라는 공동의 임무를 수행하는 도서관, 기록관, 박물관간의 협력 플랫폼 구축에 관한 연구의 동향을 토픽 모델링을 통하여 파악하기 위한 것이다. 연구의 목적을 달성하기 위하여 Scopus로부터 이들 세 기관을 동시에 다루는 논문 637편의 서지정보를 수집하였다. 수집된 서지정보 중에서 초록을 대상으로 NetMiner V.4를 통하여 총 5,218개의 단어를 추출한 후 토픽모델링 분석하였으며, 그 결과는 다음과 같다. 첫째, tf-idf의 가중치에 따른 단어출현 빈도를 분석한 결과 '보존(Preservation)'이 가장 높게 나타났으며, 둘째, LDA(Latent Dirichlet Allocation) 알고리즘을 통한 토픽모델링 분석결과 13개의 주제 영역이 도출되었다. 셋째, 13개의 주제 영역을 네트워크로 표현한 결과 '리포지터리 구축(Repository Construction)'을 중심으로 기관간의 협력, 정보자원 보존을 위한 환경 구축, 정부차원에서의 제도와 정책 발굴, 정보자원의 생애주기, 정보자원의 전시, 정보자원의 검색 등이 서로 밀접한 관련성을 가진 것으로 나타났다. 넷째, 13개의 주제 영역의 연도별 동향을 살펴보면, 1998년 이전의 연구는 제도와 정책 발굴, 정보자원의 검색, 정보자원의 생애주기 등과 같이 특정 주제에 한정된 반면, 그 이후의 연구는 보다 다양한 주제를 다룬 것으로 분석되었다.

Keywords

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