• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.247-249
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• 2015

본 논문에서는 하둡 플랫폼의 맵리듀스 모델에 기반하여 도서관 이용자들이 자주 대출하는 도서와 키워드 매칭을 통해 연관성이 높은 도서들을 추출하고 추천해 주는 도서 대출 추천 시스템을 구현 개발한다. 구현 개발된 시스템은 빅데이터의 특징을 갖는 도서관의 대출 로그 데이터로부터 타겟 도서와 유사한 키워드를 갖고 자주 대출되는 도서를 찾아 이용자에게 제공해 준다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.3
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• pp.57-84
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• 2012

With the advent of Big data era unleashed by tremendous increase of structured and unstructured data, a library needs an effective method to store, manage and preserve various information resources. Also, needs of collaboration of libraries are continuously increased in digital environment. As an effective method to handle the changes and challenges in libraries, interest on cloud computing is growing more and more. This study aims to propose a method to introduce cloud computing in libraries. To achieve the goals, this study performed the literature review to analyze problems of existing library systems. Also, this study proposed considerations, expectations, service scenario, phased strategy to introduce cloud computing in libraries. Based on the results extracted from cases that libraries have introduced cloud computing-based systems, this study proposed introduction strategy and specific applying areas in library works as considered features of cloud computing models. The proposed phased strategy and service scenario may reduce time and effort in the process of introduction of cloud computing and maximize the effect of cloud computing.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.151-178
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• 2023

At a time when libraries are attracting attention as institutions and spaces that can foster future capabilities, this study conducts a general survey of the current status of public library programs related to the future capabilities and investigate the social awareness on libraries and future capabilities through big data analysis. As a result, first, programs are being planned and provided with the keyword of future capabilities, but most of them are limited to makerspace programs, edutech programs, and experience programs. Also, the detailed types of programs are limited to 3D print, coding, AR, VR, etc. In addition, current library programs related to future capabilities are not subdivided by each competency, these programs are provided in the comprehensive sense of future competency. Second, in the awareness survey through big data analysis, education, future capabilities, and libraries were found to be highly frequent, and it was seen that library reading, books, culture, and programs were related to strengthening future capabilities. Accordingly, in the future, libraries need to develop and provide systematic programs to cultivate future capabilities, and there is also a need to develop future capabilities improvement programs that take the life cycle into account.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.409-410
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• 2019

점진적 빅데이터 학습 기반의 전자저널 구독가치 큐레이션 서비스는 대용량의 학술정보 처리환경을 하드웨어 기반에서 소프트웨어 기반으로 데이터를 학습함에 있어 학습 소요시간 및 메모리 부족 문제 등을 해결하기 위해 널리 사용하는 자질축소 기법에 의존하지 않고 대량의 데이터를 자유롭게 학습하고 증분 데이터 변경요소만을 추가 반영할 수 있는 범용적이고 일반적인 분류기의 구조설계 방법이다. 학술정보의 논문요약과 참고문헌의 데이터 수집 정제 분류 저장 분석을 통해 활용할 수 있는 지표를 생성하여 도서관 학교 공공기관 연구기관 등에 제공하여 기관에서 구독하고 있는 학술지가 연구에 얼마나 활용되고 있는지를 판단하는 정보 가용성을 활용한 양질의 정보원을 확보하여 불필요한 저널 구독을 중단하고 연구자가 요구하는 품질 좋은 학술정보를 제공할 수 있는 서비스로 일반적인 학술문헌 이용도 평가방법과 달리 구독 가치에 대한 지표를 제공하는 큐레이팅 방법이다.

• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.7-36
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• 2019

In this study, quantitative and content analysis was conducted on 37,818 news articles that were reported on the subject of 'library' for 29 years from 1990 to 2018 in order to analyze the tendency of media coverage about 'library'. First, the quantitative change in media coverage was analyzed according to the criteria by time, subject and media type. In addition, keyword frequency analysis and semantic network analysis were conducted to analyze the trends of the contents of the press and the frames inherent in the press. The results showed that the media showed a major interest in the library's informational, educational, and cultural functions, and the trend of the subject's interest was generally consistent with that of the library community, except for the issue of librarianship. Lastly, the main attitudes that the media take toward the reporting of library articles were the reporting and advertising functions.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.1
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• pp.271-287
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• 2017

This study aims to conduct a big data analysis of public library operations and uses of 16 metropolitan local government of Korea by using the Chernoff face method. This study is the first to use the Chernoff face method for big data analysis of library services in library and information research. The association of variables and human facial features was decided by survey. The study reveals that in general the provincial governments in Korea operate more libraries, invest more budgets, allocate more staff and hold more collections than metropolitan cities. This administration resulted in more use of libraries in provincial governments than metropolitan cities.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.129-137
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• 2019

In this paper, we propose the purpose of this study is to examine whether the library's creation shared value activities in China and Korea affect brand quality, social status, and the influence of each variable according to the Chinese and Korean groups. To achieve the purpose of this study, the survey was conducted using questionnaires to users who have used the Big Data Sharing Service in Korean and Chinese libraries. A total of 500 questionnaires were distributed to participants in the study, and 460 of the recovered questionnaire were used in the final analysis, which eliminated unfaithful responses. The data collected through the survey were analyzed as frequency analysis, reliability analysis, confirmed factor analysis, and structured model using statistical programs SPSS22 and AMOS22. The results of the research identified through the empirical analysis of this study are as follows. First, the CSV activities of the library's big data have a significant influence on the brand quality and social status. Second, brand quality and social resistance has a significant positive effect on continuous use intention. Third, the influence of the CSV activities in Korean and Chinese libraries has been found to be partly different. Through the conclusion and discussion section, the theoretical implications of this study, practical implications and in-depth discussions on the limitations of the study and its future direction were presented.

• Journal of Korean Library and Information Science Society
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• v.50 no.3
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• pp.217-238
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• 2019

Recently, interest in Public Lending Right has increased in Korea. This study aims to collect valuable data necessary for the discussion of the introduction of Public Lending Right by analyzing the loan statistics of 820 public libraries nationwide for five years from 2014 to 2018. In order to analyze the loan statistics of Korean public libraries, 1,178,300,000 big data provided by 'Data for Library' operated by the National Library of Korea were used. Through the analysis of loan statistics, 125 books were identified, which have been lent the most in the last five years. The study examined the 125 books to find out who are authors and Japanese authors and authors' nationality. The study also analyzed publishers and number of lending of cartoons.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.13-32
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• 2018

The purpose of this study is to analyze the association among the subject areas of big data research papers. The subject group of the units of analysis was extracted by applying co-citation networks, and the rules of association were analyzed using Apriori algorithm of R program, and visualized using the arulesViz package of R program. As a result of the study, 22 subject areas were extracted and these subjects were divided into three clusters. As a result of analyzing the association type of the subject, it was classified into 'professional type', 'general type', 'expanded type' depending on the complexity of association. The professional type included library and information science and journalism. The general type included politics & diplomacy, trade, and tourism. The expanded types included other humanities, general social sciences, and general tourism. This association networks show a tendency to cite other subject areas that are relevant when citing a subject field, and the library should consider services that use the association for academic information services.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.273-287
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• 2015

This study aimed to investigate the impact of the epidemic disease including Middle East Respiratory Syndrome Coronavirus (MERS) on the usage of public libraries. Such disease yields anxiety throughout the nation and discourages social activities in general. 18,711,453 records from 303 public libraries were examined with "big data retrieval & analysis platform for public libraries" located in Sejong National Library. The results are as follows. First, in 2015, when MERS was prevalent, the daily mean of books checked out was 64,645.05, showing decrease of 6,300 per day compared to that of 2014. Second, in 2014, the daily mean of books checked out from July 5th to August 19th was greater than that of from April 4th to May 19th and that of from May 20th to July 4th, implying the impact of summer vacation on the increase in books checked out in public libraries. Third, in 2015, the daily mean of books checked out from July 5th was greater than during MERS outbreak(from May 20th to July 4th), while it did not show statistically significant difference with that of before the outbreak. Fourth, the daily mean of books checked out did not show statistically significant difference between 2014 and 2015 before and during the outbreak, while it showed statistically significant difference between 2014 and 2015 after the epidemic period. The results indicate that MERS and the anxiety it brought nationwide had an impact on the daily mean of books checked out in public libraries after the epidemic period rather than during the outbreak.