• Title/Summary/Keyword: Keyword Trends

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Analysis of Research Trends of Explosion Accidents Using Co-Occurrence Keyword Analysis (동시출현 핵심단어 분석을 활용한 폭발사고 연구 동향 분석)

  • Youngwoo Lee;Minju Kim;Jeewon Lee;Wusung An;Sangki, Kwon
    • Explosives and Blasting
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    • v.42 no.2
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    • pp.12-28
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    • 2024
  • Explosion involving rapid energy diffusion are causing enormous human and economic damage. Due to the advancement of the industry, various and widespread explosion accidents are occurring worldwise, and to prevent such explosion accidents, accurate cause analysis should be the basis. Research analysis related to worldwise explosion accidents was carried out in a limited range for some accidents. By conducting bibliometric analysis of keywords on all the papers published in international journals, this study attempted to derive the overall research trend by period and the latest fields in which future researchers may be interested. As a result of the study of keywords, the number of papers was generally small and the number of overall key words was small from 2005 to 2014, but numerical simulation and artificial intelligence have been used for the analysis of explosion accident cases since 2015, and various studies such as lithium-ion battery and mixed gas, which are the latest research fields, are currently being actively conducted.

Comparative Exploration of Gyeongin Ara Waterway Recognition Before and After COVID-19 Outbreak Using Unstructured Big Data (비정형 빅데이터를 활용한 코로나19 발병 전후 경인 아라뱃길 인식 비교 탐색)

  • Han Jangheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.20 no.1
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    • pp.17-29
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    • 2024
  • The Gyeongin Ara Waterway is a regional development project designed to transport cargo by sea and to utilize the surrounding waterfront area to enjoy tourism and leisure. It is being used as a space for demonstration projects for urban air transportation (UAM), which has recently been attracting attention, and various efforts are being made at the local level to strengthen cultural and tourism functions and revitalize local food. This study examined the perception and trends of tourism consumers on the Gyeongin Ara Waterway before and after the outbreak of COVID-19. The research method utilized semantic network analysis based on social network analysis. As a result of the study, first, before the outbreak of COVID-19, key words such as bicycle, Han River, riding, Gimpo, Seoul, hotel, cruise ship, Korea Water Resources Corporation, emotion, West Sea, weekend, and travel showed a high frequency of appearance. After the outbreak of COVID-19, keywords such as cafe, discovery, women, Gimpo, restaurant, bakery, observatory, La Mer, and cruise ship showed a high frequency of appearance. Second, the results of the degree centrality analysis showed that before the outbreak of COVID-19, there was increased interest in accommodations for tourism, such as Marina Bay and hotels. After the outbreak of COVID-19, interest in food such as specific bakeries and cafes such as La Mer was found to be high. Third, due to the CONCOR analysis, five keyword clusters were formed before the outbreak of COVID-19, and the number of keyword clusters increased to eight after the outbreak of COVID-19.

A Study on the Competitive Analysis of Digital Healthcare in Korea through Patent Analysis (특허분석을 통한 한국의 디지털 헬스케어 분야 경쟁력 분석연구)

  • Kim, Dosung;Cho, Sung Han;Lee, Jungsoo;KIM, Min Seok;Kim, Nam-Hyun
    • Journal of Digital Convergence
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    • v.16 no.9
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    • pp.229-237
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    • 2018
  • As IoT and AI have recently developed, interest in digital healthcare is increasing. Therefore, this study aims to identify technology trends through a patent analysis on digital healthcare and present future promising areas by analyzing domestic and foreign technology competitiveness and keywords. The detailed technologies to be analyzed were designated as Health Information Measurement Technology, Healthcare Platform Technology and Healthcare Remote Service Technology, and 61,166 patents were analyzed to identify the patent trends of the world's major patent offices and major patent applications. In addition, the analysis of the technological competitiveness of each detailed technology and Korea's technological competitiveness based on its patent activity, the rate of major market securing, and the uses of the patents showed that Korea's technological competitiveness was lower than global technology. In addition, the key keyword analysis showed that the core promising areas of digital healthcare were expected to require a focused strategy for fostering health care platform technologies in Korea.

A Comparison of Current Trends in Soil Erosion Research Using Keyword Co-occurrence Analysis (동시출현단어 분석을 이용한 토양침식 연구동향 비교 분석)

  • Lim, Young-Hyup;Kim, Suk-Woo;Nam, Sooyoun;Chun, Kun-Woo;Kim, Minseok
    • Korean Journal of Environment and Ecology
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    • v.34 no.5
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    • pp.413-424
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    • 2020
  • Environmental policies and industry practices have recently seen a gradual paradigm shift from reactive management to proactive prevention of environmental impacts. Accordingly, preventive conservation policies are carried out to address the increasing value of protecting soils and soil functions as resources are limited. To propose a direction for future soil erosion research, we analyzed domestic and international research trends of soil erosion, based on journal papers retrieved from the Web of Science databases over the last decade, using VOSviewer for keyword co-occurrence analysis. The results showed that the number of publications on soil erosion per land area in Korea ranked high worldwide. In particular, studies on the soil erosion control were found to account for a more significant proportion than other countries. The active ongoing studies on soil erosion in Korea indicate that the country has recognized the severity of soil erosion resulting from climate, topography, and land use. However, the number of keywords found in the studies on the soil erosion control in Korea was relatively smaller than those found at the international level, indicating the need to diversify and expand the study subjects. In particular, studies on the soil erosion process and the related physical and chemical soil properties are necessary to find the fundamental solutions to soil erosion problems.

Study on U-City Service Issue and Trends based Text Mining - Using the Network Analysis and Information Measure Method - (텍스트 마이닝에 기반한 U-City 서비스 이슈 및 동향분석 - 네트워크분석 및 정보량계측기법을 활용하여 -)

  • Jeong, Dawoon;Yoo, Jisong;Yi, Mi-Sook;Shin, Dong Bin
    • Spatial Information Research
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    • v.23 no.3
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    • pp.35-44
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    • 2015
  • Recently, the government aims to discover and provide services to citizens on the development strategy for activating the U-City. So, this study aims to offer a service discovery direction by analyzing the service issues and trends. The target is newspaper article about U-City Service from 2009 to 2014. Prepared 723 newspaper article for analysis. Next step is frequency analysis of keyword and used that result for Network analysis and measure of information. Network analysis can show result through "Degree Centrality", "Betweenness Centrality" and "Closeness Centrality". As a result, "Information", "IT", "Environment", "Technology", "Center" is higher than another. These 5 keywords are important factors for driving the U-City the past six years. Information measurement results, Already U-City were put an emphasis on building the infrastructure and able to identify a trend that provided the center of the public service. Those Service field are "Tour(2009)", "Crime prevention and Disaster Prevention(2010)", "Facility Management(2011)", "administration(2012)" and "Facility Management(2013, 2014)". Result of this study found implications what on citizen participation. So, services field on the existing infrastructure should be discovered and provided. Finally, this study can expected to be a reference in the local government planning for U-City.

Analysis and Prediction of Trends for Future Education Reform Centering on the Keyword Extraction from the Research for the Last Two Decades (미래교육 혁신을 위한 트렌드 분석과 예측: 20년간의 문헌 연구 데이터를 기반으로 한 키워드 추출 분석을 중심으로)

  • Jho, Hunkoog
    • Journal of Science Education
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    • v.45 no.2
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    • pp.156-171
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    • 2021
  • This study aims at investigating the characteristics of trends of future education over time though the literature review and examining the accuracy of the framework for forecasting future education proposed by the previous studies by comparing the outcomes between the literature review and media articles. Thus, this study collects the articles dealing with future education searched from the Web of Science and categorized them into four periods during the new millennium. The new articles from media were selected to find out the present of education so that we can figure out the appropriateness of the proposed framework to predict the future of education. Research findings reveal that gradual tendencies of topics could not be found except teacher education and they are diverse from characteristics of agents (students and teachers) to the curriculum and pedagogical strategies. On the other hand, the results of analysis on the media articles focuses more on the projects launched by the government and the immediate responses to the COVID-19, as well as educational technologies related to big data and artificial intelligence. It is surprising that only a few key words are occupied in the latest articles from the literature review and many of them have not been discussed before. This indicates that the predictive framework is not effective to establish the long-term plan for education due to the uncertainty of educational environment, and thus this study will give some implications for developing the model to forecast the future of education.

A Study on Analysis of Reading Research Trends in Korea's LIS Fields (국내 문헌정보학 분야의 독서 연구 동향 분석)

  • Kim, Hyunsook;Kang, Bora
    • Journal of Korean Library and Information Science Society
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    • v.51 no.4
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    • pp.59-81
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    • 2020
  • The purpose of this study is to compare and analyze the trend of reading research in Korea's LIS Fields in the past 20 years, divided into the 2000s and 2010s, by establishing a keyword network. To achieve this purpose, keywords were extracted from 489 related articles in the four major journals in the LIS field sourced from the Korean Journal Citation Index (KCI) and then analyzed using NetMiner4. The results of the study were as follows: First, in the case of the 2000s, 'Public Library', 'Bibliotherapy', 'Reading Education', and 'School Library' showed high values of Frequency Analysis, Degree Centrality, and Betweenness Centrality. In the 2010s, 'Reading Education', 'School Library', 'Children', 'Adolescents', and 'Public Library' showed high values of the aforementioned measures. Second, in the 2000s, the establishment of library infrastructure for reading and reading education, the improvement of policies and systems, and reading research through the reading movement were actively conducted. In the 2010s, based on the work and research done in the 2000s, customized user reading studies and various detailed reading research were conducted. Third, to meet the demands of the times for the restoration of humanity with creativity and imagination in the Fourth Industrial Revolution, reading research and professional in-depth research should be conducted in various environments beyond public and school libraries and interdisciplinary research and active joint research between the field and academia are needed.

Analysis of the Study Trend of Glass Ceiling by Period Using Text Mining (텍스트 마이닝을 이용한 시대별 유리천장 연구동향 분석)

  • Kim, Young-Man;Lee, Jin Gu
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.376-387
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    • 2021
  • This study is to analyze the research trends related to the 'glass ceiling' phenomenon using big data analysis methods and to suggest social implications. To analyze the research trends of 'glass ceiling', the historical event that broke the 'glass ceiling' was set as an important issue, and keywords were collected by dividing park's term into three. Before, throughout and after, her term. As a result of frequency analysis, research was conducted based on 'public servants' which was selected as the main keyword in the first period, while 'women's work family compatibility' was chosen as the main keyword group in the second period. In the third period, keywords for women's occupational groups were being diversified. As a result of applying CONCOR techniques to make the studied main topics grouped, we were able to confirm that the main issues were the differentiating factors, the customary gender discrimination culture, the jobs aimed for studying, the work-family balance, the glass ceiling and the organizational performance adjustment factors, the public sector, organizational performance, and the private sector. Besides work-family compatibility support system, it was suggested as a social implication that research on improving the system to resolve the glass ceiling factor and to expand the target jobs to give solutions to real-life issues were needed, and also suggested that research on the 'glass ceiling' which the general public perceives through social medias or articles in the news, was needed in the future.

A Study on the Research Trends of Archival Preservation Papers in Korea from 2000 to 2021 (국내 기록보존 연구동향 분석: 2000~2021년 학술논문을 중심으로)

  • Yonwhee, Na;Heejin, Park
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.4
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    • pp.175-196
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    • 2022
  • This study aims to determine the research trends in archival preservation through keyword analysis, understand the current research status, and identify the research topics' changes over time. The degree and betweenness centrality analyses were conducted and visualized on 463 "archival preservation studies" articles published from 2000 to 2021 in various academic journals, using NetMiner 4.0. The collected research papers were divided into three time periods according to when they were published: the first period (2000-2007), the second period (2008-2014), and the third period (2015-2021). The subject keywords for the research papers on archival preservation in Korea that have influence and expandability are as follows. Across all periods, these were "electronic records" and "long-term preservation." In addition, if taken separately per period, the "OAIS reference model" and "electronic records" dominated the first and second periods, respectively, while the "records management standard table" and "long-term preservation" both dominated the third period. A conceptual framework and theory-oriented study for archival preservation, such as "digital preservation," "digitalization," and the "OAIS reference model," dominated the first period. During the second period, more research focused on procedures and practical applications related to conservation activities, such as "electronic record," "appraisal," and "DRAMBORA." In contrast, the majority of the research in the third period was on technical implementation according to the changes in the records management environment, such as "data set," "administrative information system," and "social media."

A Study on the Research Trends on Literacy in Library and Information Science (문헌정보학 분야의 리터러시 연구 동향 분석)

  • Jang, Su Hyun;Nam, Young Joon
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.263-292
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    • 2022
  • The purpose of this study is to identify the topics of research related to the concepts of literacy in the field of Library and Information Science which is related to user education in libraries. Data were collected from the WoS and KCI databases, and complementary keyword analysis and topic modeling analysis techniques were used to identify topics of literature-related research articles in the field of Library and Information Science. Findings presented that there was a difference in keywords and topics between the two databases. Literacy-related topics identified from the KCI database were classified into three groups through topic modeling. Also, it was analyzed that there is a difference between the overall literacy-related research trend, the timing of the surge in research volume, and key frequent keywords in the Library and Information Science field confirmed in the study. In particular, in the study of literacy in all fields, a number of words such as 'literacy', 'education', 'media', and 'digital' were derived. However, in literature research in the field of Library and Information Science, keywords such as 'information utilization ability' and 'school library' appeared. Based on this, it was concluded that research on the ability to develop an evaluative eye for information is needed in line with today's information environment, where information is rapidly increasing in Korea in the future.