• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.253-275
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• 2022

Niklas Luhmann is one of the most contentious and difficult theorist in sociology but follow-up studies on his theory gradually increase for recent 10 years. The purpose of this study is to observe how follow-up studies use the difficult concepts of Luhmann. Unlike previous studies, this study adopted a keyword rather than an article as the unit of analysis because keywords are linguistic constructs that can make concepts observable. The study analyzed co-occurrence of keywords in 139 articles retrieved from social sciences category in Web of Science DB. The key findings were following: the most important keywords were the name of Luhmann(Niklas Luhmann) and theory(social systems); keywords were grouped into 4 clusters(social systems theory, systems theory, legal system and political system, the significant of Luhmann's theory from the viewpoint of the history of social theory); topic terms were systems theory, communication, Autopoiesis, risk, legal system, functional differentiation, environment, social theory, sociological theory, structural coupling, systems and evolution. The significance of the study is following: the study gives keywords as useful access point for beginners of Luhmann's theory; the study proves that content analysis by keywords network can be applied to trend analysis of difficult theoretical researches.

• Journal of Information Management
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• v.37 no.3
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• pp.139-163
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• 2006

This article analyze a constructing process of photographic digital archive based on photographs of korean democratization movements. After photographic digital archive defines as integrated systems in which photographic digital objects collect, classify, describe, preserve and access, this article explains metadata elements and classification schema reflecting a special quality of photograph. Especially, this article presents dynamic classification structure using subject keywords. After all, this method provides integrity and interrelationship with photographes which promote usability of photographic digital objects.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.331-349
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• 2012

Structured abstracts have been regarded as an essential information factor to represent topics of journal articles. This study aims to provide an unconventional view to utilize structured abstracts with the analysis on sub fields of a structured abstract in depth. In this study, a structured abstract was segmented into four fields, namely, purpose, design, findings, and values/implications. Each field was compared in the performance analysis of document clustering. In result, the purpose statement of an abstract affected on the performance of journal article clustering more than any other fields. Furthermore, certain types of keywords were identified to be excluded in the document clustering to improve clustering performance, especially by Within group average clustering method. These keywords had stronger relationship to a specific abstract field such as research design than the topic of an article.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.30 no.1
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• pp.43-73
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• 2017

Objectives : Because fungal disease is common and easy to recur, there is need to develop treatment in Korean medical academy. For more intensified study about fungal disease, this article summarized and analyzed tendency of ones in Korean medical journal. Methods : We found 74 articles about fungus in journal of Korean medicine by using 15 Korean keywords and 19 English keywords at internet reference site as follows ; http://oasis.kiom.re.kr, http://www.riss.kr, http://www.dbpia.co.kr, http://www.ndsl.kr, http://kiss.kstudy.com, http://www.naver.com, http://www.google.com. Results : There were 12 articles(16.2%), ranked highest in 2005. Korean Journal of Oriental Physiology & Pathology ranked highest(41.9%). 3 persons ranked highest(23.0%) in number of author. There was 1 descriptive report in original article category. There were 52 In vitro articles and 8 In vivo & In vitro articles in experimental study item. Candida species ranked highest in strain category. There were 4 case reports. Conclusions : There were many experimental studies about fungal diseases, but more clinical research and case reports are necessary to give practical application to patients.

• Journal of Acupuncture Research
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• v.40 no.4
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• pp.293-307
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• 2023

This study uses bibliometric methods to analyze publications regarding the use of acupuncture in osteoarthritis over the past 20 years and presents an overview of global research trends. Publications related to acupuncture in osteoarthritis from 2003 to 2022 were retrieved from the Web of Science Core Collection Database. An analysis of the extracted records was conducted according to their publication year, research area, journal title, country, organization, author, and keywords. The VOSviewer program was used to visualize the research trends on acupuncture in osteoarthritis. An analysis of 380 articles indicated a consistent increase in the use of acupuncture for osteoarthritis treatment over the past 20 years. Many articles have been published in research areas such as "integrative complementary medicine" and "general internal medicine." The most prolific journal was Evidence-Based Complementary and Alternative Medicine. In terms of article publication, the most productive country and research organization were China and the Beijing University of Chinese Medicine, respectively. The most frequently occurring keywords were "acupuncture," "knee osteoarthritis," and "pain." This study used a bibliometric analysis to provide an overview of global research trends on acupuncture in osteoarthritis. These findings may suggest the future direction of research on the treatment of acupuncture in osteoarthritis.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.109-117
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• 2021

This study was attempted to identify the working environment of nurses by identifying the key keywords associated with the unfair working conditions of Korean nurses reported in various media outlets in the media. "Nurse NOT (nurse) or nurse" was searched on BIG KINDS, selected articles related to the unfair treatment of nurses, extracted the final 309 cases, and classified into six categories of hospital-level, regional, keyword, and integrated keywords in the article using Excel2007. Of the 309 articles, 79 (22.56 percent) were published from November 2015 to October 31, 2016, 92 (29.77 percent) from third medical institutions, and 121 (39.1 percent) from across the country. The integrated keywords were summarized into a total of 14, followed by sexual assault/sexual harassment (14.88%), shortage of nurses (11.65%), burning nurses (11.0%), unfair dismissal (10.67%) and physical assault (10.35%). The findings could be used as basic data for establishing a positive working environment for nurses and improving positive image awareness of nursing professionals.

• Journal of Korean Academy of Nursing
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• v.51 no.4
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• pp.442-453
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• 2021

Purpose: This study was conducted to assess public awareness and policy challenges faced by practicing nurses. Methods: After collecting nurse-related news articles published before and after 'the Thanks to You Challenge' campaign (between December 31, 2019, and July 15, 2020), keywords were extracted via preprocessing. A three-step method keyword analysis, latent Dirichlet allocation topic modeling, and keyword network analysis was used to examine the text and the structure of the selected news articles. Results: Top 30 keywords with similar occurrences were collected before and after the campaign. The five dominant topics before the campaign were: pandemic, infection of medical staff, local transmission, medical resources, and return of overseas Koreans. After the campaign, the topics 'infection of medical staff' and 'return of overseas Koreans' disappeared, but 'the Thanks to You Challenge' emerged as a dominant topic. A keyword network analysis revealed that the word of nurse was linked with keywords like thanks and campaign, through the word of sacrifice. These words formed interrelated domains of 'the Thanks to You Challenge' topic. Conclusion: The findings of this study can provide useful information for understanding various issues and social perspectives on COVID-19 nursing. The major themes of news reports lagged behind the real problems faced by nurses in COVID-19 crisis. While the press tends to focus on heroism and whole society, issues and policies mutually beneficial to public and nursing need to be further explored and enhanced by nurses.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.444-455
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• 2022

Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.59-79
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• 2017

This study analyzed the type, subject and open level of research data in the field of library and information science field shared by Figshare, and statistically analyzed the characteristics of data with relatively high recyclability. The results of the analysis showed that datasets and papers were most common data types, and open access and research data were the most common keywords of data, and that 70% of the data were published in a form that can not be processed mechanically such as pdf. As a result of analysis of the relationship between characteristics of research data and degree of sharing, open access areas such as APC (Article Processing Charge) were found to be most common in the subject. However in data type, gray literature such as paper found to be highly utilized rather than dataset.

• Journal of Oriental Neuropsychiatry
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• v.22 no.4
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• pp.31-39
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• 2011

Objectives : This study aimed to investigate frequently used herbal materials among herbal prescription for depression focusing on randomized controlled trial. Methods : Every article relevant to depression was initially obtained from China National Infrastructure(CNKI), Korean database and book hand-searching. Searching keywords were 'depression', 'herbal medicine' and 'randomized controllled trial(RCT)'. Results : Among comorbidity with depression, the most accompanied disease was that of circulatory system. Among sixty-five articles, depression with cerebral vascular disease was twenty-eight. Article about mood disorder was twenty-four. High frequently used herbal materials were Bupleuri Radix(41times), Curcumae Radix(34 times), Acori Graminei Rhizoma and Cnidii Rhizoma(24 times). Conclusions : According to this study, we could know select frequent-used herbal medicine. In a clinical treatment, herbal materials can be added herbal prescription related to depression. As these results, it can be helpful to develop new drugs.