• Title/Summary/Keyword: 주제어 파악

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Semantic Network Analysis on the Research Trends in The Society of Korean Performance Art and Culture (우리나라 공연문화 연구동향의 의미연결망 분석)

  • Hwang, Dong-Ryul;Kwon, Yae-Ji
    • (The) Research of the performance art and culture
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    • no.37
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    • pp.437-464
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    • 2018
  • This study used semantic network analysis to understand the academic identity and characteristics of the society of korean performance art and culture and to grasp the trend of the research. For this purpose, this study analyze the research trend of korean performance art and culture related papers based on 455 whole articles in the Journal of The Society of Korean Performance Art and Culture by the Korean Performance Art and Culture Association from 2000 to 2017. Through this research, the trends of The Society of Korean Performance Art and Culture in the period of time were identified, and the phenomenon of the performance culture field and the future development direction were suggested.

Design and Evaluation of a Personalized Search Service Model Based on Web Portal User Activities (웹 포털 이용자 로그 데이터에 기반한 개인화 검색 서비스 모형의 설계 및 평가)

  • Lee, So-Young;Chung, Young-Mee
    • Journal of the Korean Society for information Management
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    • v.23 no.4 s.62
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    • pp.179-196
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    • 2006
  • This study proposes an expanded model of personalized search service based on community activities on a Korean Web portal. The model is composed of defining subject categories of users, providing personalized search results, and recommending additional subject categories and queries. Several experiments were performed to verify the feasibility and effectiveness of the proposed model. It was found that users' activities on community services provide valuable data for identifying their Interests, and the personalized search service increases users' satisfaction.

A Study on the Intelligence Information System's Research Identity Using the Keywords Profiling and Co-word Analysis (주제어 프로파일링 및 동시출현분석을 통한 지능정보시스템 연구의 정체성에 관한 연구)

  • Yoon, Seong Jeong;Kim, Min Yong
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.139-155
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    • 2016
  • The purpose of this study is to find the research identity of the Korea Intelligent Information Systems Society through the profiling methods and co-word analysis in the most recent three-year('2014~'2016) study to collect keyword. In order to understand the research identity for intelligence information system, we need that the relative position of the study will be to compare identity by collecting keyword and research methodology of The korea Society of Management Information Systems and Korea Association of Information Systems, as well as Korea Intelligent Information Systems Society for the similar. Also, Korea Intelligent Information Systems Society is focusing on the four research areas such as artificial intelligence/data mining, Intelligent Internet, knowledge management and optimization techniques. So, we analyze research trends with a representative journals for the focusing on the four research areas. A journal of the data-related will be investigated with the keyword and research methodology in Korean Society for Big Data Service and the Korean Journal of Big Data. Through this research, we will find to research trends with research keyword in recent years and compare against the study methodology and analysis tools. Finally, it is possible to know the position and orientation of the current research trends in Korea Intelligent Information Systems Society. As a result, this study revealed a study area that Korea Intelligent Information Systems Society only be pursued through a unique reveal its legitimacy and identity. So, this research can suggest future research areas to intelligent information systems specifically. Furthermore, we will predict convergence possibility of the similar research areas and Korea Intelligent Information Systems Society in overall ecosystem perspectives.

화상회의 Simulator를 이용한 통신 품질의 감성공학적 평가

  • 나종관;박민용;박희석
    • Proceedings of the ESK Conference
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    • 1997.04a
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    • pp.176-182
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    • 1997
  • 본 연구는 고객 지향적 통시서비스 품질기준 정립을 위한 기초연구 과제로서 크게 통신 고객의 감 성파악 및 감성실험 부분으로 이루어졌다. 우선, 전형적 감성공학적 접근법에 의해 화상회의 시스템 을 사용할 때 느낄 수 있는 206개의 감성어휘가 추출되었으며 이를 어의적 기준과 상대적인 중요도를 기준으로 하여 10개의 주요 감성으로 정리하였다. 사용자의 불만사항 등으로부터 감성실험을 위한 설계변수를 추출하였으며 실험환경 구축을 위한 simulator가 구성되었다. 실험은 음성지연, 음성에코, 화면의 초당 프레임수 그리고 통화주제를 인자로 하는 2$^{4}$요인배치법에 의해 실시되었으며 16명의 피실험자와 Magnitude Estimation방법을 이용하여 파악된 각 감성이 주관적으로 평가되었다. 분산분석 결과, 음성지연은 모든 주요 감성들에 유의한 영향을 미쳤으며, 화상프레임 수는 거리감과 안정성을 제외한 모든 사용자 감성에 주인자로 작용하였다. 또한 요인분석을 실시한 결과 동적인 요인과 정적인 요인으로 전체 감성을 구분지을 수 있었으며 속도감과 깨끗함이 각각을 대표하는 감성으로 나타났다. 주관적이고 복합적인 통신 사용자의 여러 감성을 단일 품질 평가지수로 나타내어 통신소비자의 시스템 선호도 평가에 사용할 수 있는 방법이 제안되었다.

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A Network Analysis on the Trend of Pressing Dementia Management Policy: Focusing on the Prevention of Dementia (치매관리정책의 언론보도 경향에 대한 네트워크 분석: 치매예방을 중심으로)

  • Choi, In-Kyu;Suh, Kyung-Do;Kim, Duck-Hwan;Choi, Ju-Keun
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.149-157
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    • 2018
  • The purpose of this study is to identify the tendency of media reports on the dementia management policy in Korea and to suggest policy implications such as prevention of dementia, improvement of awareness, and management of dementia through network analysis. We analyzed the linkage structure between the main texts centered on the number of citations of the main language related to the dementia management policy and the centrality and mediation as the research procedures and methods. As a result of the analysis, first, a 'micro' perspective is needed to explain practically. Second, it is desirable to understand the dementia management policy in the context of community. Third, the network structure of key words such as 'dementia management policy' suggests the possibility of research study in academic research in future research. Therefore, the phenomenon of dementia management policy will contribute to the direction of future dementia management policy, not local or temporary.

Keyword Analysis of Research on Consumption of Children and Adolescents Using Text Mining (텍스트마이닝을 활용한 아동, 청소년 대상 소비관련 연구 키워드 분석)

  • Jin, Hyun-Jeong
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.1-13
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    • 2021
  • The purpose of this study is to identify trends and potential themes of research on consumption of children and adolescents for 20 years by analyzing keywords. The keywords of 869 studies on consumption of children and adolescents published in journals listed in Korean Citation Index were analyzed using text mining techniques. The most frequent keywords were found in the order of youth, youth consumers, consumer education, conspicuous consumption, consumption behavior, and character. As a result of analyzing the frequency of keywords by dividing into five-year periods, it was confirmed that the frequency of consumer education was significantly higher betwn 2006 and 2010. Research on ethical consumption has been active since 2011, and research has been conducted on various topics instead of without a prominent keyword during the most recent 5-year period. Looking at the keywords based on the TF-IDF, the keywords related to the environment and the Internet were the main keywords between 2001 and 2005. From 2006 to 2010, the TF-IDF values of media use, advertisement education, and Internet items were high. From 2011 to 2015, fair trade, green growth, green consumption, North Korean defector youths, social media, and from 2016 to 2020, text mining, sustainable development education, maker education, and the 2015 revised curriculum appeared as important themes. As a result of topic modeling, eight topics were derived: consumer education, mass media/peer culture, rational consumption, Hallyu/cultural industry, consumer competency, economic education, teaching and learning method, and eco-friendly/ethical consumption. As a result of network analysis, it was found that conspicuous consumption and consumer education are important topics in consumption research of children and adolescents.

Analyzing the Research Fronts of Women's Studies in Korea Using Citation Image Makers Profiling (인용 이미지 구축자 프로파일링을 이용한 국내 여성학 분야 연구 전선 분석)

  • Kim, Jo-Ah;Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.33 no.2
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    • pp.201-225
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    • 2016
  • A new technique for revealing the research fronts of a interdisciplinary discipline has been developed. Citation image makers profiling (CIMP) determines the relationships between research papers with the title words of the citing documents. We adapted this new technique to analyze the research fronts and hot topics in women's studies of Korea. By Korean Citation Index (KCI) data in 2015, we selected 148 papers cited more than 9 times as the core documents of women's studies. Analysis of intellectual structure using citation image makers profiling was performed with the 148 core documents and those citing papers. Document co-citation analysis was hindered by citation data sparsity, while CIMP method successfully revealed the structure of research fronts of Korean women's studies including 2 divisions and 6 subdivisions. The CIMP method suggested in this study has good potential to discover the characteristics of research fronts of interdisciplinary research domains.

A Study on Trend Analysis in Convergence Research Applying Word Cloud in Korea (워드 클라우드 기법을 이용한 국내 융복합 학술연구 트렌드 분석)

  • Kim, Joon-Hwan;Mun, Hyung-Jin;Lee, Hang
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.33-38
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    • 2021
  • The convergence trend is the core of the 4th industrial revolution, and due to such expectations and possibilities, various countermeasures are being sought in diverse fields. This study conducted a quantitative analysis to identify the trend of convergence research over the past 10 years. Specifically, major research keywords were extracted, word cloud techniques were applied, and visualized to identify trends in academic research on convergence. To this end, research papers from 2012 to 2020 published in journal of digital convergence were investigated. The analysis period was divided into two periods: the former 4 years(2012-2015) and the latter 4 years(2016-2019) to confirm the difference in research trends. In addition, the research papers of 2020 were analyzed in order to more clearly understand the changes in the research trend of the last year due to the COVID-19. The results of this study are significant in that they can be used as useful basic data for future research and to understand research trends as keywords in the field of convergence.

Research Trends and Knowledge Structure of Digital Transformation in Fashion (패션 영역에서 디지털 전환 관련 연구동향 및 지식구조)

  • Choi, Yeong-Hyeon;Jeong, Jinha;Lee, Kyu-Hye
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.319-329
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    • 2021
  • This study aims to investigate Korean fashion-related research trends and knowledge structures on digital transformation through information-based approaches. Accordingly, we first identified the current status of the relevant research in Korean academic literature by year and journal; subsequently, we derived key research topics through network analysis, and then analyzed major research trends and knowledge structures by time. From 2010 to 2020, we collected 159 studies published on Korean academic platforms, cleansed data through Python 3.7, and measured centrality and network implementation through NodeXL 1.0.1. The results are as follows: first, related research has been actively conducted since 2016, mainly concentrated in clothing and art areas. Second, the online platform, AR/VR, appeared as the most frequently mentioned topic, and consumer psychological analysis, marketing strategy suggestion, and case analysis were used as the main research methods. Through clustering, major research contents for each sub-major of clothing were derived. Third, major subject by period was considered, which has, over time, changed from consumer-centered research to strategy suggestion, and design development research of platforms or services. This study contributes to enhancing insight into the fashion field on digital transformation, and can be used as a basic research to design research on related topics.

A Comparative Study using Bibliometric Analysis Method on the Reformed Theology and Evangelicalism (개혁신학과 복음주의에 관한 계량서지학적 비교 연구)

  • Yoo, Yeong Jun;Lee, Jae Yun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.3
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    • pp.41-63
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    • 2018
  • This study aimed at analyzing journals and index terms, authors of the reformed theology and evangelicalism, neutral theological position by using bibliometrical analyzing methods. The analyzing methods are average linkage and neighbor centralities, profile cosine similarities. Especially, when analyzing the relationship between authors, we interpreted the research topic by finding the key shared index terms between the authors. In the journal analysis results, 9 journals were largely clustered together in the two clusters of the reformed theology and evangelicalism, but Presbyterian Theological Quarterly that is thought to be a reformed journal was clustered in evangelical cluster. In the index terms analysis results of the clusters, the reformed theology and evangelicalism were key words representing the two clusters. In the authors' analysis results, we had 9 clusters and the Presbyterian theologian studying the reformed theology had the four clusters and the non-Presbyterian theologian had the 5 clusters. Therefore, we consistently had the two clusters of the reformed theology and evangelicalism in all the analysis of the journals and the index terms, the authors.