• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.79-88
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• 2023

This study aimed to develop an ontology for Thai country songs by using the seven steps of an ontology development process. Hozo-Ontology Editor software and Ontology Application Management Framework were tools used in this study. Nine classes of ontology were identified: song, singer, emotion, author, language used, language type, song style, original, and content, and it was found that the song class had a relationship with all of the other classes. The developed ontology was evaluated by seeking opinions from experts in the field of Thai country songs, who agreed that the ontology was highly effective. Additionally, the evaluation employed the knowledge retrieval concept, and the precision, recall, and overall effectiveness were measured, with a precision of 92.59%, a recall of 86.21%, and an overall effectiveness (F-measure) of 89.28%. These results indicate that the developed ontology is highly effective in describing the scope of knowledge of Thai country songs.

• Journal of Korean Academy of Nursing
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• v.29 no.4
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• pp.780-789
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• 1999

This study was conducted to identify the attributes constituiting Korean social support and to validate the results of the previous study ‘Search for the meaning of social support in Korean Society.’ The informants were 41 Korean middle-aged women in three cities Seoul, Daejun and Daeku. The data were collected through indepth interviews using the interview guide from Jun. 1994 to Jun. 1995. The interview guide was developed in the simulated situations of ‘Stroke attack’ which expected to be in need of social support. The women were asked to answer what they felt and the appropriate terms representing the situations. Data analysis were conducted by content analysis. Consequently, the Korean social support pyramid was modified as follows ; Support is the apex of the pyramid. The four sides of the pyramid are made up of ‘Jung’(Bound by ties of affection, regard or shared common experience, Connectedness), Do-oom(both emotional and material help), Mi-dum(Faith or belief in) and Sa-Rang(Love). The base of the pyramid is ‘yun’(the basic network of relationships in Korean culture) that connote the meaning of Eunhae(Benevolence), Euimu(duty, responsibility) and Dori(obligation).

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.548-566
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• 2013

The availability of technology and the abundance of experts in universities create an ample opportunity to provide a venue that allows a knowledge seeker to easily connect with and request advice from university experts. On the other hand, outsourcing provides opportunities and remains one of the emerging trends in organizations, and can very clearly observed in the Philippines. This paper describes the development of a reliable web-based approach to Knowledge Product Outsourcing (KPO) services in the Silliman Online University Learning system. The system is called an "e-Knowledge Box."It integrates Web 2.0 technologies and mechanisms, such as instant messaging, private messaging, document forwarding, video conferencing, online payments, net meetings, and social collaboration together into one system. Among the tools used are WAMP Server 2.0, PHP, BlabIM, Wordpress 3.0, Video Whisper, Red5, Adobe Dreamweaver CS4, and Virtual Box. The proposed system is integrated with the search engine in URLs, Web feeds, email links, social bookmarking, search engine sitemaps, and Web Analytics Direct Visitor Reports. The site demonstrates great web usability and has an excellent rating in functionality, language and content, online help and user guides, system and user feedback, consistency, and architectural and visual clarity. Likewise, the site was was rated as being very good for the following items: navigation navigation, user control, and error prevention and correction.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.303-319
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• 2017

This study was to explore ex-offender's social readjustment based on the perceptions of correctional professionals and correctional counselors. For the study, 10 correctional professionals were interviewed including university professors majoring in criminology, judges of family court, various correctional workers and 8 correctional counselors responsible for counseling of ex-offender's in the Korea Rehabilitation Agency. The interviews were analyzed using content analysis procedures proposed by Krippendorff(2003). The results were composed of 5 spheres, 15 dimensions, 36 categories, and 77 meaning contents. With regard to social readjustment experiences of ex-offender's, domains such as 'education', 'psychotherapy', 'employment and job search', 'service, culture and leisure', and 'social and national support' were drawn from the analyses. Based on the results of this study, significance and implications were presented.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.19-36
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• 2015

Social media is an emerging issue in content services and in current business environment. YouTube is the most representative social media service in the world. YouTube is different from other conventional content services in its open user participation and contents creation methods. To promote a content in YouTube, it is important to understand the diffusion phenomena of contents and the network structural characteristics. Most previous studies analyzed impact factors of contents diffusion from the view point of general behavioral factors. Currently some researchers use network structure factors. However, these two approaches have been used separately. However this study tries to analyze the general impact factors on the view count and content based network structures all together. In addition, when building a content based network, this study forms the network structure by analyzing user comments on 22,370 contents of YouTube not based on the individual user based network. From this study, we re-proved statistically the causal relations between view count and not only general factors but also network factors. Moreover by analyzing this integrated research model, we found that these factors affect the view count of YouTube according to the following order; Uploader Followers, Video Age, Betweenness Centrality, Comments, Closeness Centrality, Clustering Coefficient and Rating. However Degree Centrality and Eigenvector Centrality affect the view count negatively. From this research some strategic points for the utilizing of contents diffusion are as followings. First, it is needed to manage general factors such as the number of uploader followers or subscribers, the video age, the number of comments, average rating points, and etc. The impact of average rating points is not so much important as we thought before. However, it is needed to increase the number of uploader followers strategically and sustain the contents in the service as long as possible. Second, we need to pay attention to the impacts of betweenness centrality and closeness centrality among other network factors. Users seems to search the related subject or similar contents after watching a content. It is needed to shorten the distance between other popular contents in the service. Namely, this study showed that it is beneficial for increasing view counts by decreasing the number of search attempts and increasing similarity with many other contents. This is consistent with the result of the clustering coefficient impact analysis. Third, it is important to notice the negative impact of degree centrality and eigenvector centrality on the view count. If the number of connections with other contents is too much increased it means there are many similar contents and eventually it might distribute the view counts. Moreover, too high eigenvector centrality means that there are connections with popular contents around the content, and it might lose the view count because of the impact of the popular contents. It would be better to avoid connections with too powerful popular contents. From this study we analyzed the phenomenon and verified diffusion factors of Youtube contents by using an integrated model consisting of general factors and network structure factors. From the viewpoints of social contribution, this study might provide useful information to music or movie industry or other contents vendors for their effective contents services. This research provides basic schemes that can be applied strategically in online contents marketing. One of the limitations of this study is that this study formed a contents based network for the network structure analysis. It might be an indirect method to see the content network structure. We can use more various methods to establish direct content network. Further researches include more detailed researches like an analysis according to the types of contents or domains or characteristics of the contents or users, and etc.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.4
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• pp.59-81
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• 2009

This study is aimed at developing a broadcast content creators' information behavior model through analysis of the process of information use including an integrated perspective such as cognitive, emotional and environmental aspects. Broadcast content creators have a common cognitive process and pools of information exchange and integration. In order to have emotional empathy with the general public they search and use the news and human and everyday life information seeking (ELIS). The most important thing is the context of social norms and culture in the broadcasting community and information about judgment is subjective and empirical.

• Archives of Plastic Surgery
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• v.49 no.5
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• pp.614-616
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• 2022

As of November 2021, TikTok has one billion monthly active users and is recognized as the most engaging social media platform. TikTok has seen a surge in users and content creators, ranging from athletes to medical professionals. In the past year, content creators have utilized the app to advocate for social reforms, education, and other uses that were not previously considered. Breast cancer is the most commonly diagnosed cancer in women, with an expected 281,550 new cases of invasive breast cancer in 2021. As more individuals with breast cancer choose to undergo resection, the demand for autologous fat grafting in breast reconstruction has increased due to the natural look and feel of breast tissue. The purpose of this article is to analyze content related to breast reconstruction with fat grafting found on TikTok and recommend methods to improve patient education, care, and outcomes. We searched TikTok on November 1, 2021, for videos using the phrase "breast reconstruction with fat grafting." The top 200 videos retrieved from the TikTok search algorithm were analyzed, and all commentaries, duplicates, and nonrelevant videos were removed. Video characteristics were collected, and two independent reviewers generated a DISCERN score A total of 131 videos were included in the study. They were found to have a combined 1,871,980 likes, 41,113 comments, and 58,662 shares. The videos had an average DISCERN score of 2.16. Content creators had an overall low DISCERN score in items involving the use of references, disclosure of risks for not obtaining treatment, and support for shared decision-making. When stratified, the DISCERN score was higher for videos created by physicians (DISCERN average 2.48) than for videos created by nonphysicians (DISCERN average 1.99; p < 0.001).

• Journal of the Korean housing association
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• v.21 no.1
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• pp.171-180
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• 2010

Amongst society's transitional presuppositions towards the future, population aging is the most critical issue in Korea. Immediate attention to devise a countermove is required. One of the major trends appeared in retirement communities of advanced countries is social integration which has been considered as a promising future direction of elderly housing development. This study aims to find out social integration characteristics and to categorize local engagement types of recent retirement communities through the characteristics of sharing common facilities and programs. Data were collected through mainly web site and literature reviews. Contentent analysis technique was used. Ten CCRC cases were selected through web search using the major key words such as 'intergenerational'. As a result, community engagement types were classified into six categories by the degree of sharing both physical and program resources between the retirement community and local area. This type can be utilized to develop alternative housing and retirement community for the older adults as a new model which activates the resident and vitalizes the retirement community through local engagement by physical and social resources.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.202-206
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• 2023

Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.1
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• pp.7-27
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• 2021

High unemployment rates repeatedly cause recurring social problems such as fewer employment opportunities and employment insecurity. Following this trend, various programs related to employment have been provided through various government and institutions. However, they have established overlapping policies and programs and there is no one stop gateway to find effective and efficient way to find relevant information. For this purpose, this study aims to provide employment and job search subject gateway development. The study has carried out case studies, literature reviews, and user survey. Based on this study, it suggested a linked metadata model to organize and link scattered information together, and a digital gateway operating diverse information services. It is expected to provide a basis to develop comprehensive information service model for employment.