• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.521-526
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• 2017

Data format of Big data is diverse and vast, and its generation speed is very fast, requiring new management and analysis methods, not traditional data processing methods. Textual mining techniques can be used to extract useful information from unstructured text written in human language in online documents on social networks. Identifying trends in the message of politics, economy, and culture left behind in social media is a factor in understanding what topics they are interested in. In this study, text mining was performed on online news related to a given keyword using topic - oriented analysis technique. We use Latent Dirichiet Allocation (LDA) to extract information from web documents and analyze which subjects are interested in a given keyword, and which topics are related to which core values are related.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.165-198
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• 2003

This study analyzed authors' use of theory in 654 articles that appeared in two core library and information science journals during last three decades. In order to analyze degree of theory use of LIS, such as, publication productivity, growth and distribution of theory in subfields. name and origin of theory, usability of each theory, subfields and journals, and so on, content analysis of LIS theories was performed through conceptual and empirical study. For the purpose of this study, we suggested a couple of new analytical methods, so called, ‘Subfield Classification Scheme’ within LIS, and ‘5 Degrees of Theory Use’ model for the first time.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.413-416
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• 2022

본 연구의 목적은 국내외 교육에서 필수역량으로 제시하고 있는 '디지털 리터러시'를 주제로 한 연구 문헌들을 분석하여 동향을 살펴보고, 앞으로의 필요한 연구 주제를 알아보고자 한다. 이를 위해 교육학 분야로 색인한 '디지털 리터러시' 관련 논문들을 찾아 연도별 분포, 연구대상, 연구분야, 연구목적 및 관련 주제에 따라 분석하였다. 분석결과 SW교육의 적용과 코로나19로 디지털 리터러시 교육에 대한 관심이 증가하고 있지만, 연구 대상과 주제가 다양하게 분포되어 있지 않으며 디지털 리터러시의 개념과 영역에 대해 명확히 구분되어 있지 않았다는 점을 알 수 있었다. 이에 디지털 리터러시에 대한 활발한 연구를 위해 교사들을 위한 디지털 리터러시, 정보교과에서의 디지털 리터러시, 타 리터러시와의 명확한 개념과 영역 구분, 리터러시 교수·학습 방법 및 적용 사례, 디지털 리터러시 측정 도구 등의 주제를 제안하였다.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.271-291
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• 2004

As the number of University libraries which adopt subject divisional Plan in Korea is increasing, lots of problems are coming out, which results from a lack of close examination and analysis before adopting, and the lack of continuous checking and evaluation after adopting. Therefore, this article will do the following. First, study the example of the U.S. university libraries which have a longer history of subject division adoption than Korea. It covers going through the situation at the moment of adopting, the phase of development and decline Second analyse the differences between the libraries in U.S. and Korea on the basis of first study. Finally, study the resonable adoption method considering the changing circumstances aound Libraries and forecast the future movement in adopting the Subject division plan in the university libraries in Korea.

• The Korean Publising Journal, Monthly
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• s.244
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• pp.16-17
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• 1998

한국도서관협회(회장 이두영)는 9월 24일부터 3일간 경주교육문화회관에서 '전국도서관대회'를 개최했다. 신일희 총장(계명대)은 기조연설을 통해 시대적 사명에 복무했던 도서관의 영광을 재현할 것을 촉구했다. 그는 "도서관이 지식과 정보를 보급하는 것은 인류발전을 위해 수임받은 숭고한 사명"이라며 도서관 대중화를 위한 관계자들의 적극적인 노력을 요망했다. 특별강연과 주제발표, 세미나 등 모두 26편의 강연이 이뤄진 가운데 김포옥 교수가 주제발표한 (공공도서관장의 전문의식과 교육방향)은 앙케트를 바탕으로 도서관의 실질적인 운영자인 도서관장의 '전문가 의식'을 분석해 눈길을 끌었다. 김포옥 교수는 전국 도서관장 329명 중에 설문에 응한 188명의 응답을 바탕으로 근무경위.근무연수.사서교육이수 여부 등을 분석했다. 주목되는 대목은 도서관장의 34%가 사서자격증조차 없는 비전문가라는 점, 도서관장을 전문직으로 평가한 사람이 115명(61.2%)에 불과한 점 등이다. '도서관 일을 특별히 지망하지 않았다.'는 관장이 44%나 되어 애초부터 '전문가 의식'을 기대하는 것이 무리하는 추론도 도출했다. 김교수는 "도서관장의 전문가 의식을 키우기 위해 지속적인 교육과 직업만족도를 높이는 방안을 모색해야 할 것"이라고 주장했다. 제1주제 '도서관 정책' 방향을 모색하는 자리에서 한성택 교수(숭의여대) 등 3인은 21세기에 맞는 우리나라 도서관 정책의 기본 방향을 제고하고 도서관의 유기적 역할을 모색했다. 제2주제 '봉사'에 대해 채윤정 사서(정독도서관) 등 4인은 도서관의 서비스 실태와 향후 방향성을 논했으며, 제3주제 '운영'은 김포옥 교수(전북대) 등 4인이 도서관 운영의 현주소를 각각의 입장에서 조명했다. 마지막 주제는 '학교도서관' 활성화로, 김종성사서(부산대) 등 2인이 도서관과 학교 교육의 연계성, 학교도서관의 발전 전략 방안을 모색했다. 주제발표 논문 가운데 3편을 욕약해 싣는다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.10 no.1
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• pp.243-268
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• 1999

The purpose of this study is to develop the classification scheme in subject-based directory search engine for educational research information on the web. Five classification systems. Yahoo Korea, Argus Clearinghouse, DDC, ERIC thesaurus and KEDI thesaurus were measured in terms of coverage of subject fields, system logic, accuracy of terminology and efficiency of searching. For the design of Classification Scheme, this study considered the content of subject areas, features of information resources and efficiency based on users. Finally, the Classification Scheme was established in terms of 16 main divisions and 47 sub-divisions in educational research information.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.3
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• pp.17-34
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• 2001

It is very important to organize materials at intemet bookstores. It is time for us to develop a subject classification scheme as a tool for increasing the effectiveness of information retrieval with ease of subject access. The purpose of this study is to examine the subject features of internet bookstores in order to suggest the effective design of the subject scheme for them. Nine internet bookstore websites are analyzed at the aspect of the subject classification of the materials. Based upon the results of this study, an effective subject classification for internet bookstores is suggested to provide a better subject access.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.63-71
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• 2018

This study aimed to suggest research directions for future studies by exploring trends of existing academic literature on multicultural acceptance of elementary school children in Korea. For this purpose, this study searched for domestic articles in academic data base using key words related to the subject of this study. Finally 36 articles were selected and using content analysis they were analyzed according to year of publication, fied of study, research themes, and research methods. The results of the study indicated that steady academic efforts have been made related to this topic since the first study in this field appeared in 2010 and the most prolific field of study was pedagogy. Results also showed that the theme of analyzing factors affecting multicultural acceptance of children was studied the most and quantitative methods were dominant. Results of the analysis suggested a need to put more research endeavor to extend the scope of research themes, study fields, and research designs in this field and they contributed to providing basis for future research.

• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.7-32
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• 2010

The aims of this study were to provide a global overview of research trends in information science and to trace its changes in the main research topics over time using trends analysis. The study examined the topics of research articles published in Journal of Korean Society for Information Management between 1984 and 2009. Rather than taking a single snapshot of a given point in time, this study attempted to present a series of such pictures in order to identify trends over time. The fairly arbitrary decision was taken to divide the period under consideration into three 'publication windows': 1984-1994, 1995-2002, 2003-2009. The study revealed that the most productive areas were 'Information Service', followed by 'Information Organization', and 'Information System'. The most productive sub-areas were 'Library Service', 'User Study', 'Automatic Document Analysis', 'ILS', 'Thesaurus/Ontology', and 'Digital Library'. From the comparisons of intellectual structures of title keywords, the key research area in the field of Information Science was 'Information Retrieval'. The studies of IT applications and service system evaluation have been expanded.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.171-187
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• 2019

The study aims to analyze the posts of depression-related Facebook groups to understand major topics discussed by group users. Specifically, the purpose of the study is to identify the topics and keywords of the posts to understand what users discuss about depression. Depression is a mental disorder that is somewhat sensitive in the online community, which is characterized by accessibility, openness and anonymity. The researchers have implemented a natural language-based data analysis framework that includes components ranging from Facebook data collection to the automated extraction of topics. Using the framework, we collected and analyzed 885 posts created in the past one year from the largest Facebook depression group. To derive more complete and accurate topics, we combined both automated and manual (e.g., stop words removal, topic size determination) methods. Results indicate that users discuss a variety of topics including depression in general, human relations, mood and feeling, depression symptoms, suicide, medical references, family and etc.