• Journal of Information Management
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• v.20 no.1
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• pp.1-29
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• 1989

The field of bibliometrics and its applications are extensive. This paper deals with firstly the origin and development as well as definition of bibliometrics, secondly the research areas and basic laws in the field, thirdly the various techniques used in bibliometric analyses according to the fundamental bibliometric data : publications. references and citations, and producers of scientific publications, and finally the applications of bibliometric techniques, including those in librarianship and information management, and those in the study of science and scientists.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.65-78
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• 2011

The purpose of this study is to identify topic areas of academic library research using two informetric methods; word clustering and Pathfinder network. For the data analysis, 139 articles published in major library and information science journals from 2005 to 2009 were collected from the Korean Science Citation Index database. The keywords that represent research topics were gathered from two sections: an and titles in references. Results showed that reference titles usefully represent topics in detail, and combinings and reference titles can produce an expanded topic map.

• Journal of the Korean Society for Library and Information Science
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• v.19
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• pp.243-261
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• 1990

계량서지학이 도서관 정보학 분야에 응용된 지 20년이 지난 지금, 이론 및 실무에 남긴 발전적 기여를 고찰함과 동시에, 컴퓨터를 비롯한 정보기술의 발달로 계량서지학의 가치와 중요성은 한층 더 폭넓게 인지되고 있다. 본 연구는 계량서지학의 개념 정리와 그 특성을 분석함으로써 다양한 이론적 근거 및 장$\cdot$단점을 파악하여 향후 연구방향 설정에 기초를 제시함을 그 목적으로 한다. 문헌구조를 분석하는 군집분석(cluster analysis), 동시인용분석(co-citation analysis), 인용문맥분석 (citation context analysis), 다차원축적기법(multidimensional scaling technique) 등에 대한 최근의 연구 동향 및 추이를 분석함으로써 도서관 실무 혹은 정보시스팀에 계량서지학의 실제 응용을 제시하였다. 아울러, 계량서지학의 3대법칙-Lotka's law, Brandford's law, Zipf's law-의 발달 단계, 상관관계 및 응용분야를 연구함으로써 전반적인 도서관 관리와 이론정보학의 연구방향을 설정하고 있다.

• Journal of Information Management
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• v.38 no.4
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• pp.1-21
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• 2007

Patent data have both properties of technological and industrial information. They satisfy explicit requirements for originality, technological validity, and commercial value. They comprise all fields of innovation for a long period of time. They show their own qualitative importance by forward citation of them. In this paper, we attempt to establish and apply an analytical model and process based on informetric approach using patent information in order to predict emerging technologies which have the possibility of industrial development in the future.

• Journal of the Korean Society for information Management
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• v.25 no.2
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• pp.143-155
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• 2008

Authoritative as well as objective information on ranking or dominant research areas of academic departments/schools in a certain discipline is essential for the graduate school applicants. In this study, we performed an informetric analysis to identify dominant research areas in the top 10 U.S. LIS schools. We used two different datasets of research productivity and research interests of the LIS faculty. The correspondence analysis method was employed to graphically display the association between research areas and the LIS schools. We found that the research Productivity data collected from SSCI database generated a very informative map presenting which research areas were dominant in which LIS schools. We also found that for the two most productive suhject areas in LIS over the past 10-year period, the proportion of research articles in information retrieval decreased to a great extent in the recent 5-rear period, whereas that of information seeking behavior showed an almost same degree of increase.

• Proceedings of the Korean Society for Information Management Conference
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• 1996.08a
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• pp.101-104
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• 1996

학문은 다양한 이론적 배경을 토대로 시대적 환경에 적응하여 발전한다. 즉, 서로의 영역을 공유하면서 새로운 이론을 창출하고 실제로 이를 응용하고 있는 것이다. 계량서지학, 계량과학학, 문헌과학학등으로 일컫고 있는 계량정보학은 문헌의 분석을 위해 수량학적 방법으로 적용하여 연구하는 학문으로, 활발히 연구되어 응용되고있는 분야는 텍스트검색시스템, OPACs, 비디오텍스시스템, 하이퍼텍스트시스템, CD-ROM, 온라인 정보서비스, 전자출판, 전자우편, 케이블 TV 등의 전자정보서비스 분야이다. 본 연구에서는 계량정보학의 사적변천과 연구영역, 그 응용과 실제를 고찰하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 1998.08a
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• pp.97-100
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• 1998

계량정보학 연구영역의 하나인 운영연구(Operation Research, OR)중, 미래예측이라는 목적을 가지고 있는 마코프모형(Markov chains)의 통계기법을 활용한 두가지 실험사례를 살펴보고, 최근의 연구경향을 분석함으로써, 도서관 시스템 운영과 설계에 마코프모형을 응용할 수 있는 네가지 방안을 제시하였다. 계량정보학의 한분야로 적용되고 있는 마코프모형에 관한 국내연구가 활발하지 못한 상태이므로, 국내 계량정보학에서의 마코프모형 연구의 필요성과 활성화를 제안하였다.

• The Journal of the Korea Contents Association
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• v.8 no.2
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• pp.231-238
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• 2008

With the development of methodologies, there are also the researches for the concrete item selection for selecting the future emerging researches and technologies. In this paper, we use scientometrics for that purpose in the sectors of construction and transportation. In our scientometric analysis, we use Scopus database, top 1% cited papers, bibliographic coupling, cosine coefficient, and hierarchical clustering and then carry additional experts verification on our results. We try to show the detailed process of scientometric analysis and its possibility as objective methodologies to select the future emerging researches and technologies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.3
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• pp.315-343
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• 2015

This study reviews articles in published in the The Journal of Korean Biblio Society for Library and Information Science (JKBSLIS) over 5 years from 2010 to 2014 for identifying the academic characteristics and the recent research trends of the JKBSLIS. 300 articles of JKBSLIS are analyzed in terms of bibliometric factors, research theme, methodology, author keywords, and intellectual structure comparing with 344 articles of the Journal of Korean Society for Library and Information Science (JKSLIS) and 283 articles of the Journal of Korean Society for Information Management (JKOSIM). In results, there is no differences between JKBSLIS and the other two journals, JKSLIS and JKOSIM regards on bibliometric factors. The domain research areas in the JKBSLIS are 'Information Services', 'Library Management' and 'Reading Education'. It is also found that the most popular methods are 'survey' and 'case study' and that the main research areas in the shown intellectual structure are 'public library & reading', 'academic library & collection management', and 'school library & information literacy education'.

• Proceedings of the Korean Society for Information Management Conference
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• 2006.08a
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• pp.121-126
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• 2006

이 연구에서는 인터넷 자원을 통해 사회과학 분야의 학제성을 측정하고 그 특징을 알아보기 위해 세 가지 계량정보학적 분석을 수행하였다. 먼저 세계적인 사회과학 정보 게이트웨이인 SOSIG의 Grapevine 자료를 통해 사회과학 내 학문분야 간 학제성을 측정하였고, 관련 학자들의 홈페이지 동시링크와 미국 상위 관련 학과 홈페이지의 동시링크를 분석하였다. 그 결과 business, education, philosophy 등을 중심으로 어느 정도 학제성이 나타났으나, 심리학 등 사회과학의 몇몇 분야의 학제성은 예상 외로 높지 않은 것으로 나타났다.