• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.175-201
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• 2019

In the Fourth Industrial Revolution, students are required to develop in areas such as communication, logic, and creative thinking. Therefore, the university libraries need to develop new services so that students can grow up to be suitable for the new social situations. Havruta is an educational approach that can meet these needs and is one of the measures the university libraries want to apply. Thus, through 1) the investigation of the concept of Havruta, 2) the case study of domestic and foreign university libraries, and 3) interview of the Havtura-based service, this study 4) proposed the Havruta service applicable to the university libraries and 5) conducted a survey of operators and users on the awareness of the Havruta service, space, and contents of the Havruta service, and the willingness of the Havruta service. Results of the survey analysis revealed implications for the areas of the Havruta service - Havruta theme, group organization, textbook rental, simplication of space reservation, data sharing and motivation system.

• The Korean Journal of Archival Studies
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• no.25
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• pp.197-231
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• 2010

The concept of Government 2.0 is spreading rapidly in many countries and is fundamentally changing existing freedom of information system which has passively responded to information demands. This study aims at discussing possible strategies for a new freedom of information system that is based on the Government 2.0 notion which presents revolutional approaches to public sector information's creation, management, and usage. For the purpose of the study, precedence studies and researches about both freedom of information system and Government 2.0 are analyzed. Furthermore, mutual relationships between them are discussed. Through this discussion, social and economic benefits from freedom of information systems which are based on Government 2.0 are explored. As a case study, Data.gov services in the US, the UK, and Australia which are recognised as a feasible plan to set up Government 2.0 are analyzed. Their three common characteristics- revaluating public sector information's reuse, establishing exclusive agencies, and providing raw data-are discussed. Then, various mashup services which use Data.gov services' raw data are also studied. Issues related to the freedom of information system in South Korea are examined. As a result, a policy framework for establishing Government 2.0 based freedom of Information system is discussed in terms of three aspects, law, technology and organization.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.415-425
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• 2016

Game industry is certain to change rapidly as its attribute. Therefore, It's not easy that the law response to reflect the technological change of game industry properly, and a new legal issue that is difficult to cover with the existing law. Recently, Court battle or cases about games are socially receiving attention. Nevertheless, Research accumulation about the legal action to response this is rare situation. The legal system that is related games mostly approach in the regulation and punishment of one-sided administration so far. Relatively, Approach from the game industry development and promotion act standpoint is low. Shrinking rapidly the current game industry is not an irrelevance to this. So It is necessary to reconstruct rationally in side that embrace with variety of views of members of the society and interests about current game-related laws, systems and regulation instruments. Access to how will develop competitiveness of the game industry in legal aspects and how will promote the balanced development between game industries are needed. The problems that needs to handle in legal aspect such as game development, game distribution, and game usage which in the part of the game industry are getting more and more in the future. Therefore, there is a need to review consistently in the legal aspect for the game industry promotion.

• Economic and Environmental Geology
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• v.50 no.3
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• pp.195-214
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• 2017

Statistical landslide susceptibility analysis, which is widely used among various landslide susceptibility analysis approaches, predicts the unstable area by analyzing statistical relationship between landslide occurrence locations and landslide controlling factors. However, uncertainties are involved in the procedures of the susceptibility analysis and therefore, fuzzy approach has been used to deal properly with uncertainties. The fuzzy approach used fuzzy set theory and fuzzy membership function to quantify uncertainties involved in landslide controlling factors. Various fuzzy approaches were suggested in the procedure of the membership value determination and fuzzy operation in the previous researches. However, few studies were carried out to compare the analysis results obtained from various approaches for membership function determination and fuzzy operation. Therefore, in this study, the authors selected Jinbu area, which a large number of landslides were occurred at in 2006, to apply two most commonly used methods, the frequency ratio and the cosine amplitude method to derive membership values for each controlling factor. In addition, the integration of different thematic layers to produce landslide susceptibility map was performed by several fuzzy operators such as AND, OR, algebraic product, algebraic sum and Gamma operator. The results of the landslide susceptibility analysis using two different methods for the determination of fuzzy membership values and various fuzzy operators were compared on the basis of ROC graph to check the feasibility of the fuzzy based landslide susceptibility analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1643-1651
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• 2014

Social networking services (in short, SNS) allow users to share their own data with family, friends, and communities. Since there are many kinds of information that has been uploaded and shared through the SNS, the amount of information on the SNS keeps increasing exponentially. Particularly, Facebook has adopted some interesting features related to entertainment (e.g., movie, music and TV show). However, they do not consider contextual information of users for recommendation (e.g., time, location, and social contexts). Therefore, in this paper, we propose a novel approach for movie recommendation based on the integration of a variety contextual information (i.e., when the users watched the movies, where the users watched the movies, and who watched the movie with them). Thus, we developed a Facebook application (called MyMovieHistory) for recording the movie history of users and recommending relevant movies.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.207-220
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• 2021

Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.201-207
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• 2022

In this paper, we propose a movie recommendation model that uses the users' ratings as well as their reviews. To understand the user's preference from multicriteria perspectives, the proposed model is designed to apply attribute-based sentiment analysis to the reviews. For doing this, it divides the reviews left by customers into multicriteria components according to its implicit attributes, and applies BERT-based sentiment analysis to each of them. After that, our model selectively combines the attributes that each user considers important to CF to generate recommendation results. To validate usefulness of the proposed model, we applied it to the real-world movie recommendation case. Experimental results showed that the accuracy of the proposed model was improved compared to the traditional CF. This study has academic and practical significance since it presents a new approach to select and use models in consideration of individual characteristics, and to derive various attributes from a review instead of evaluating each of them.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.129-159
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• 2019

The Purpose of this study is to develop an evaluation model for usability of research data service from the angles of evaluating usefulness of research data service itself and research data use experience-based usability. First, the various cases of evaluating usability of data services are examined and 4 rating scales and 20 measuring indicators for research data service are derived as a result of comparative analysis. In order to verify validity and reliability of the rating scale and the measuring indicators, the study conducted a survey of 164 potential research data users. KMO Bartlett Analysis was performed for validity test, and Principle Component Analysis and Verimax Rotating Method were used for component analysis on measuring indicators. The result shows that the 4 intrinsic rating scales satisfy the validity criteria of KMO Barlett; A single component was determined from component analysis, which verifies the validity of measuring indicators of the current rating scale. However, the result of 12 user experience-based measuring indicators analysis identified 2 components that are each classified as rating scale of utilization level and that of participation level. Cronbach's alpha of all 6 rating scales was 0.6 or more for the overall scale.

• Korean Security Journal
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• no.51
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• pp.173-195
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• 2017

Recently, in South Korea, security management has been strengthened, but there have been an increasing number of cases where the main infrastructure of the country is hacked in the cyber space. South Korea is equipped with sophisticated information and communication technologies, such as Internet, but is threatened by cyber terrorism of North Korea and terrorist organizations. Nevertheless, there is a limit to how to develop a policy and strategic plan for the country, which is related to domestic terrorism and lacks legal and regulatory facilities, and therefore, in this study, proposed suggestions for building adaptive and efficient policy formulation. Based on the theoretical analysis framework of the Strategic Plan for achieving the objectives of the research, we compared the UK 's security strategy with the national security policy of the domestic government. As a result, several problems were derived: First, the domestic security strategy did not take into account the external environment. Secondly, lack of coordination with domestic cyber security goals setting and strategy is causing ambiguity and confusion. Third, the detailed plan of implementation of national security in each province is designed to ensure that there is a possibility that a mixed side effect between ministries and agencies will arise. Fourth, it was found that there was a limit to prepare the evaluation standards for the evaluation and return of domestic security policies in the country. Therefore, in order to establish a policy for the response of domestic cyber terrorism, we set up a vision from long-term perspectives and concrete targets based on the strategic approach of the security policy, It is necessary to present an assignment and formulate an efficient execution plan. It is necessary to maintain and improve the domestic safeguards in order to be able to complement the problems through evaluation and feedback.

• Information Systems Review
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• v.13 no.3
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• pp.141-163
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• 2011

The advancement of information technologies including the Internet has affected the way of social information processing as well as brought about the paradigm shift to the information society. Accordingly, it is very important to study the process of social information processing over the digital media through which social information is generated, distributed, and led to social consensus. In this study, we analyze the mechanism of social information processing, identify a process model of social consensus and institutionalization of the results, and finally propose a set of information processing characteristics on the internet media. We deploy the ethnographic approach to analyze the meaning of group behavior in the context of society to analyze two major events which happened in Korean society. The formation process of social consensus is found to consist of 5 steps: suggestion of social issues, selective reflection on public opinion, acceptance of the issues and diffusion, social consensus, and institutionalization and feedback. The key characteristics of information processing in the Internet is grouped into proactive response to an event, the changes in the role of opinion leader, the flexibility of proposal and analysis, greater scalability, relevance to consensus making, institutionalization and interaction. This study contributes to the literature by proposing a process model of social information processing which can be used as the basis for analyzing the social consensus making process from the social network perspective. In addition, this study suggests a new perspective where the utility of the Internet media can be understood from the social information processing so that other disciplines including politics, communications, and management can improve the decision making performance in utilizing the Internet media.