• Journal of the Korean BIBLIA Society for library and Information Science
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• v.8 no.1
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• pp.135-155
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• 1997

The purpose of this study Is to recommand all kinds of library in Korea to develop a disaster plan. The materials in the library are apt to get damaged at once by such disasters as fire or flood etc. It is fortunate that we Have not found any big disaster at libraries in Korean. considering many cases of big disaster which distroy materials at library in foreign countries. In spite of the posibility of disaster any time, that will make librry loss of function, there are no library that have a disaster plan in Korea. Disaster plan is a guidance by which materials are conserved at ordinary times, protected and recoverd in contingency. It consists by four elements: prevention, preparedness, reaction and recovery. As libraries function by biblogrophic data and user data in automation system, it is also recommended to prepare system protection in the disaster plan.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.85-108
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• 2018

This study aimed to analyze media reports of the Comprehensive Library Advancement Plan using big data analysis in order to determine trends and implications by period. To do so, related data from 2009 to 2017 were collected from major domestic web portal sites. Words in the collected data were refined through the text mining process and frequency, centrality, and structural equivalence analyses were performed. Results confirmed that, during the implementation of the first and the second phases of the Comprehensive Library Advancement Plan, the focus of the library policy changed from external growth to strengthening internal stability and advancement of library operation, and the media coverage were limited to specific policies such as expansion of library facilities. Findings from this study will serve as useful material for ascertaining the approach to perceive and understand the national library policy represented by the Comprehensive Library Advancement Plan.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.35-56
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• 2018

This study examines the current state of library related data opened through public data portals, and analyzes how much data is being utilized according to the type of releasing organization, and open level. In addition, we analyzed the subject cluster of data and the centrality of data by performing PathFinder Network analysis using keywords assigned to data by dividing the releasing subject into local government and national/public institutions. Based on this, the subject area of library - related data disclosed by local governments and national/public organizations is understood. And identify the main open body that should be opened first by linking with data utilization analysis result and then suggest implications for future improvement in connection with library big data business.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.207-208
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• 2014

• 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 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 the Korean Society for Library and Information Science
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• v.25
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• pp.151-183
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• 1993

As many Korean libraries has begun to be automated and become a part of the worldwide, open library system, they need a new management. Therefore, the purpose of this paper is to explore the library management in automated libraries and to establish a theory of the library management in information society, The automated libraries could be well explained by the systems theory and the environment of the libraries could be well explained by the contingency theory, The following hypothesis were set to direct this research. 1. As the libraries are automated and become a part of one big, worldwide library system, the libraries interact closely with the environment so that the library and the environment become one. 2. As the libraries are automated and become a part of one big, worldwide library system, the librarians need to work in the environment for the library networks, standardization of cataloging, or government information policy making. 3. As the libraries are automated and become a part of one big, worldwide library system, the librarians only manage the library, The various other library staffs take over the traditional library services directly related to books. The data were gathered from the research done previously, Also the date were collected from the American and Japanese libraries. The findings were as follows: The environment of the library integrated all types of the library services such as school library, university library, etc. And it also integrated all the services of the media centers and the press centers, etc. to library services. And the new library services began in the environment. Librarians worked for these new services. In the library, the librarians distingushed the library system from the environment by planning : mission, goal, objectives, policy, procedures and rules. Library organization became temporary such as forming task forces or matrix or free form. The environment controlled the library. Staffs were controlled by plans or computers. And the professional librarians were controlled by their ability to solve problems raised outside the libraries. Library leaders brought in the technology to the library from its environment. The librarians led the formal and informal organizations so that the staffs cooperated well in their work. And librarians tought the library procedures to the partime workers or the temporary staffs. Participative management and management by objectives were the means of motivating staffs. Budget was based on the ever changing environment. The zero based budget method was applied. Therfore, in the information society, the professional librarians become the able managers in the library and global librarians in the environment.

• 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 the Korean Society for information Management
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• v.31 no.2
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• pp.7-40
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• 2014

This study proposes to identify digital library services applying cutting-edge technologies, and attempt to investigate the applicability of these technologies and services to domestic libraries. To this end, we reviewed main research which discusses next generation digital libraries, and examined thoroughly main technologies which can be applied to future libraries. As a result, the core technologies, concepts, and tools of the next generation of digital library are: cloud services, space for infinite creating (makerspace), big data, augmented reality, context-aware technologies, Google-glass, a revolutionary display technology, open linked-content-offering method, and so on. Specific cases of libraries already utilizing these technologies are also discussed.