• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.353-378
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• 2014

The purpose of this study is to find factors to affect on the formation of semantic relation from terminology and what is to be affected by these factors to build the database scheme of terminology dictionary by a structural definition. In this research, 826,905 keywords of 88,874 social science articles and 985,580 keywords of 125,046 humanities science articles in the KCI journals from 2007 to 2011 were collected. From collected data, subject complexity, structural hole, term frequency, occurrence pattern and an effect between the number of nodes and the number of patterns which were derived from the semantic relation of linked terms of established 'STNet' System were analyzed. The summarized results from analyzed data and network patterns are as follows. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation node. Among these factors, betweenness centrality was the most effective and effective size. But term frequency was the least effective. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation type. Term frequency is the most effective. Therefore, when building a terminology dictionary, factors of betweenness centrality, term frequency, effective size, and complexity of subject are needed to select term. As a result, these factors can be expected to improve the quality of terminology dictionary.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.4
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• pp.67-85
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• 2022

This study develops a methodology for facet-based subject headings for the subject access to oral history records collected by such a project of the knit business in Haebangchon. First, the concept and characteristics of oral history records and their contents were investigated, and the meaning of facets and subject headings applied to such content was examined in the literature review. Second, the basic facets of oral history records were created based on 5W1H that reflected the narrative feature of oral history. Third, 540 subject-related terms were selected through an analysis of the transcript written based on oral history interviews with one interviewer and seven interviewees linked to the knit business in Haebangchon. Fourth and last, subject headings were proposed with the selected subject-related terms categorized in facets with various relationships. These facet-based subject headings will improve the subject access and use of oral history records.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.141-142
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• 2015

본 연구의 목적은 초등 프로그래밍 교육에 관한 연구들의 동향을 파악하는 데 있다. 2000년부터 2015년 3월까지 학술연구정보서비스(RISS)를 통해 검색된 152편의 논문을 선정하였고, 연구 주제에 따른 논문의 현황을 분석하였다. 연구 주제로는 프로그래밍 교육 콘텐츠 및 교육과정 개발이 가장 많았고, 프로그래밍 교육의 학습 효과에 관한 연구가 그 다음을 이루었다. 그러나 교사 교육에 관한 연구는 이루어지고 있지 않고 있었다. 이러한 연구 자료를 바탕으로 초등 프로그래밍 교육에 관한 앞으로의 연구 방향에 대해 논의하였다.

• Smart Media Journal
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• v.5 no.3
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• pp.88-92
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• 2016

This paper proposes a method of forecasting the computer technology development direction. Most computer technology researches in Korea are developed from hot research issues. This approach to take research topics mostly produces less valuable results. In order to choose more valuable research topics, researchers should company with the technology development trends. This paper proposes a way to forecast the computer technologies on the way to the future. It analyzes the development history of programming languages, and forecasts future directions as extensions of the history.

• Bulletin of Food Technology
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• v.25 no.3
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• pp.268-274
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• 2012

글로벌동향브리핑(GTB)에서는 100여명의 국내 외 과학기술 전문가가 농림 수산, 생명과학, 보건 의료 등 19개 주제로 해외 과학기술동향을 소개하고 있다. 이를 바탕으로 식품분야의 최신 해외과학기술 주요동향을 요약하여 재정리 하고자 한다. 지난 3개월뿐만 아니라 글로벌동향에서는 다수의 비만 관련 연구결과가 제시되었다. 비만과 함께 당뇨 등의 대사성질환에 대한 연구까지 포함하면 전세계의 관심을 보여주듯 가장 많이 다뤄진 주제라 판단된다. 하여 이중에서 식품과 관련있거나 참고할 만한 11개의 기사를 선정하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.67-70
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• 2000

본 연구에서는 국내 의학학술논문의 저자가 선정한 주제용어(저자용어)와 MEDLINE 레코드의 MeSH 용어를 비교하여 국내 의학 학술논문 저자들이 얼마나 정확히 MeSH 용어를 사용하는지 일치도를 측정하였고, 사용방법상 어떠한 특징을 보이는지, 일치하지 않는 이유가 무엇인지 분석하였다. 1989년부터 1998년까지 Korean Journal of Parasitology에 발표된 415편의 논문에 사용된 1,826개의 저자용어 가운데 MEDLINE 레코드의 MeSH 용어와 일치한다고 볼 수 있는 용어는 35.5% (649개)로 한 논문에 평균 1.6개의 용어가 일치하였다. 이 가운데 완전히 일치하는 용어는 10.1%밖에 되지 않았다. 이와 같이 국내 의학학술논문 저자들은 MeSH 용어를 정확히 사용하기 위해 필수적인 체크태그 (Check tag), 계층구조 (Tree Structure), 부표목 사용 등 MeSH 용어 사용방법에 대한 지식이 부족한 것으로 나타났다.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.171-193
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• 2011

This study aims to analyse the necessity of the subject heading construction for the word based classification and to suggest a methodology that uses various knowledge organization systems(KOS). For this purpose, six kinds of KOS were collected for the 20 selected works in each subject. The collected subjects were analysed in terms of constructing a subject heading for the word based classification. The result of the analysis shows that there is a noticeable difference between the library oriented KOS and commercial oriented KOS. In addition, user oriented tags are more similar to the commercial sector's concerning subject categorization than the library oriented ones. However, there is no noticeable difference among the library oriented KOS, commercial sector oriented KOS, and user oriented tags regarding the subject vocabulary. Some practical implications were suggested for the application to the Korean libraries based on the findings of this study.

• Journal of the Korean Society for information Management
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• v.13 no.1
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• pp.205-226
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• 1996

Under the hypothesis that any pair of terms in the sentence is meaningful to present the context of the paper, the Brillouin measure of term relatedness in automatic indexing is proposed. For the experiment, the pair of terms simul-taneously appeared in two or more sentences of the paper are extracted from the title and abstract of the paper. Com-pared with the list of index terms or subject headings suggested by the author, the terms in term relatedness graph are highly matched with the terms in the list. Especially, it is revealed that the rank of terms by synthetic strength is use-ful in the selection of index terms.

• Proceedings of the Korean Society for Information Management Conference
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• 1996.08a
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• pp.49-52
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• 1996

색인작성 모형을 구축하는데 필요한 기초적인 자료로서 색인표목 선정을 목차와 결부시켜 고찰하였다. 색인길이는 본문의 3%이고, 네 개 이하의 참조 수를 갖는 색인어는 95.8%이며, 목차항목이 색인에 출현한 도서는 100%이었다. 계층표목을 갖는 분석색인에 계층적 목차항목의 50%가 준용되었고, 목차의 고유어는 거의 색인어에 올랐다. 주절과 주어 등 문법상 주제적인 위치에 있는 단어와 구들이 다수 색인표목으로 선정되어 앞으로 목차항목 등과의 상호관련에 대한 연구가 진행되어야 할 것으로 사려된다.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.159-168
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• 2019

The purpose of this study is to propose a strategy for creating an advertisement for Corporate Social Responsibility(CSR) based on the strategy of selecting an advertisement model in order to efficiently execute the advertisement of CSR. Data were analyzed by regression analysis. The results of this study are as follows: First, it is found that the value-relevance factors of the model are important regardless of the theme of CSR. In the economic field, the reliability of the model is important. But, the attractiveness of the model was more important in the environmental field. Second, it is effective to select a model with high value-relevance when selecting CSR advertising model. But, in the case of an expert, it is effective to select not only value addition, but also attractive and reliable models. Third, when producing CSR ads using emotional messages, it is important to consider the value and reliability of the advertising model. But, it is important to select the model considering the importance of the value and attractiveness of the advertisement model when producing the CSR advertisement using the informational message. It was found that it is very important to select a model that has a high relevance to the image of the social responsibility subject and the advertisement model when producing the social responsibility advertisement.