• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.57-84
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• 2023

With the development of information and communications technology (ICT) and big data technology, anyone can easily obtain and utilize vast amounts of data through the Internet. Therefore, the capability of selecting high-quality data from a large amount of information is becoming more important than the capability of just collecting them. This trend continues in academia; literature reviews, such as systematic and non-systematic reviews, have been conducted in various research fields to construct a healthy knowledge structure by selecting high-quality research from accumulated research materials. Meanwhile, after the COVID-19 pandemic, remote healthcare services, which have not been agreed upon, are allowed to a limited extent, and new healthcare services such as health recommender systems (HRS) equipped with artificial intelligence (AI) and big data technologies are in the spotlight. Although, in practice, HRS are considered one of the most important technologies to lead the future healthcare industry, literature review on HRS is relatively rare compared to other fields. In addition, although HRS are fields of convergence with a strong interdisciplinary nature, prior literature review studies have mainly applied either systematic or non-systematic review methods; hence, there are limitations in analyzing interactions or dynamic relationships with other research fields. Therefore, in this study, the overall network structure of HRS and surrounding research fields were identified using citation network analysis (CNA). Additionally, in this process, in order to address the problem that the latest papers are underestimated in their citation relationships, the GraphSAGE algorithm was applied. As a result, this study identified 'recommender system', 'wireless & IoT', 'computer vision', and 'text mining' as increasingly important research fields related to HRS research, and confirmed that 'personalization' and 'privacy' are emerging issues in HRS research. The study findings would provide both academic and practical insights into identifying the structure of the HRS research community, examining related research trends, and designing future HRS research directions.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.1
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• pp.263-290
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• 2016

The purpose of this study is to compare seven data science programs in Korea and ten data science programs in the US. Results show that 14 data science programs are housed in graduate schools. 10% of data science courses in Korea and 26% in the US fall under the Math and Statistics Knowledge area, one of the three areas defined by Conway. The syllabus analysis does not show much differences in terms of class contents and grading. The results of this study can be used to design data science programs that are more effective and well-grounded.

• Korean Security Journal
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• no.62
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• pp.185-203
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• 2020

While overall crime has been on the decline since 2009, voice phishing has rather been on the rise. The government and academia have presented various measures and conducted research to eradicate it, but it is not enough to catch up with evolving voice phishing. In the study, researchers focused on catching criminals and preventing damage from voice phishing, which is difficult to recover from. In particular, a voice phishing prediction method using the Fraud Detection System (FDS), which is being used to detect financial fraud, was studied based on the fact that the victim engaged in financial transaction activities (such as account transfers). As a result, it was conceptually derived to combine big data such as call details, messenger details, abnormal accounts, voice phishing type and 112 report related to voice phishing in machine learning-based Fraud Detection System(FDS). In this study, the research focused mainly on government measures and literature research on the use of big data. However, limitations in data collection and security concerns in FDS have not provided a specific model. However, it is meaningful that the concept of voice phishing responses that converge FDS with the types of data needed for machine learning was presented for the first time in the absence of prior research. Based on this research, it is hoped that 'Voice Phishing Damage Prediction System' will be developed to prevent damage from voice phishing.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.295-328
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• 2018

This study aims to analyze circulation status of children's material and participation in culture program based on the bigdata to identify the current status of children and youth services and suggest ways to improve the services. The logs to be analyzed consist of children's material information, circulation count information, circulation user information registered at the National Library of Korea, Sejong. The children's material information logs contain 77,297 data, circulation count information logs contain 4,160,484 data, circulation user information logs contain 189,060 data The current status analysis of children and youth services was conducted in various ways, including analysis of circulation status and culture program by subject, age, and residential area. Based on analysis results, improvement methods of children and youth services were proposed in terms of books, users and residences. This study analyze empirically current status of children and youth services based on bigdata logs, and it has significance for being different form proceeding researches. We expect this study to be used as an empirical basis for the establishment of operational strategies in the future.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.253-261
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• 2018

The purpose of this study is to find the theories of public policy in Confucian politics during Choson Dynasty. As a result of the analysis, there are five implications. First, the area of Confucian policy of Choson consisted in authority, organization, financial policy, affection for the people, and li(ritual propriety). Second, major political context had been maintained from King Se-Jong, through King Sung-Jong and King Yeong-Jo to King Jeong-Jo in the perspective of dynasties' characteristic. Third, there were major ideas on Confucius's idea for li in early period, $Zh{\bar{u}}z{\check{i}}^{\prime}s$ idea for the authority in late period and Mencius's idea for financial policy in major risk situation. Fourth, there were five periods with establishment, foundation, crisis, restoration and collapse in the change of public policy. Fifth, $Zh{\bar{u}}z{\check{i}}^{\prime}$ and $Ch{\acute{e}}ng{\cdot}zi$ had influenced bigger than Confucius as a factors of policy making. This study has been promoted the complement of context analysis and understanding of semantic analysis with implementing dictionary using two language with Korean and Chinese.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.27-29
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• 2022

사상의학은 외형과 병증 등을 바탕으로 체질을 감별하고 이를 진단에 활용하는 한국의 고유 체질 의학이다. 체형은 체질 변증의 중요한 단서로, 계측정보를 사용한 체질별 도식화 및 감별을 위한 기존 연구가 있었으나, 한정된 샘플수와 연구 간의 이질성으로 대규모 집단 분석 결과가 도출되기 어려우며, 실측 및 라벨링 데이터가 필수적이라는 한계가 있다. 본 연구는 한국인 체형 빅데이터를 사용하여, 영상 정보만으로 체질 감별에 필요한 체형 요소를 추출하고, 이를 기존 문헌에서 제시한 체질 감별 공식에 적용하여 사상체질을 자동 감별하는 모델을 제안한다.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.5-36
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• 2021

This study attempted to present the direction of development of the curriculum of Library & Information Science by investigating and analyzing the current status of the curriculum of Library & Information Science in Korea and the perception of the necessity of each major subject. To this end, the curriculum of the Department of Library and Information Sciences nationwide was thoroughly investigated. Based on the subjects, a questionnaire survey was conducted for all professors of the Department of Library and Information Science on the degree of consent for required and elective subjects. As a result, first, the total number of courses opened in the Department of Library and Information Science has recently decreased. It was confirmed that the proportion of the required subjects and basic subjects decreased, and the proportion of elective subjects increased. Second, it was found that the importance and weight of informatics are constantly increasing, and there is a high demand for new subjects such as big data, programming, and data analysis. Third, the proportion of library management in all subjects is decreasing, but the necessity of detailed subjects is highly recognized. Fourth, it was confirmed that the proportion of bibliography was gradually decreasing. Fifth, although records management was not a required major subject, its weight increased as an elective subject, while language subjects showed almost no awareness of the necessity.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.363-384
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• 2024

This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.27-35
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• 2022

The purpose of this study is to analyze the metaverse-related issues in the news big data from an educational perspective, explore their characteristics, and provide implications for the educational applicability of the metaverse and future education. To this end, 41,366 cases of metaverse-related data searched on portal sites were collected, and weight values of all extracted keywords were calculated and ranked using TF-IDF, a representative term weight model, and then word cloud visualization analysis was performed. In addition, major topics were analyzed using topic modeling(LDA), a sophisticated probability-based text mining technique. As a result of the study, topics such as platform industry, future talent, and extension in technology were derived as core issues of the metaverse from an educational perspective. In addition, as a result of performing secondary data analysis under three key themes of technology, job, and education, it was found that metaverse has issues related to education platform innovation, future job innovation, and future competency innovation in future education. This study is meaningful in that it analyzes a vast amount of news big data in stages to draw issues from an education perspective and provide implications for future education.