• Journal of Korean Medical classics
• /
• v.25 no.4
• /
• pp.105-113
• /
• 2012

Objectives : Acquiring information from symptoms is one of the important method to gain clinically available information in korean medicine. Therefore, up to now, study of symptom terms was frequently implemented in promotion of various information project. In data extraction methods using symptom information from DB, information search using synonym and method using ontology is studied and utilized. However, considering concept of symptom has essential information of appeared body area and phenomenon we think that extending synonym and ontology relationship in symptom terms can be useful for search and set to this study. Methods : We collect terms relevant to human body area and structure described in Donguibogam. Synonymous relationship between collected terms is organized. Relationship between collected terms is build to human-body-knowledge table which has form of Concept+Relation+Concept. Type of relationship is limited on a range of expressing content about parts of human body. Result & Conclusion : Search condition is generated automatically using relationship of the upper area in knowledge table contents. Information of next and previous acupuncture point, upper and lower acupuncture point, left and right acupuncture point can be searched using information of acupuncture point location, order, relative position in area, direction in knowledge table contents.

• Knowledge Management Research
• /
• v.22 no.4
• /
• pp.1-26
• /
• 2021

Measuring the intangible asset has been vigorously studied for its importance. Especially, the value of character in media industry is difficult to quantitatively evaluate in spite of the industry's rapid growth. Recently, the Social Network Analysis (i.e., SNA) has been actively applied to understand human usage patterns in a media field. By using SNA methodology, this study attempts to investigate how the character network characteristics of media works are linked to human search behaviors. Our analysis reveals the positive correlation and causality between character network centralities and character search data. This result implies that the character network can be used as a clue for the valuation of character assets.

• Korean Journal of Culture and Social Issue
• /
• v.16 no.3
• /
• pp.289-310
• /
• 2010

The purpose of this study was to examine how political interest, political ideologies, and information-searching goals influence the amount of information voters search, the ways in which people search for information about political candidates, and the type of information they select. The results showed that the participants under accuracy goal searched much more information and the participants under the high level of interest were not affected by conservative ideology, but the participants with the low level of interest were influenced by the liberal ideology and viewed substantially more information. And most of participants had the attribute-centered searching pattern. The social policies were accessed most, however, the information about party and personal background of a candidate were found least.

• The Journal of Bigdata
• /
• v.1 no.1
• /
• pp.67-75
• /
• 2016

The study analyzed big data extracted from Google and social media to identify factors related to searches on cyber bullying in Korea and America. Korea's cyber bullying analysis was conducted social big data collected from online news sites, blogs, $caf{\acute{e}}s$, social network services and message for between January 1, 2011 and March 31, 2013. Google search trends for the search words of stress, exercise, drinking, and cyber bullying were obtained for January 1, 2004 and December 22, 2013. The main results of this study were as follows: first, the significant factors stress were cyber bullying that Korea more than America. Secondly, a positive relationship was found between stress and drinking, exercise and cyber bullying both Korea and America. Thirdly, significant differences were found all path both Korea and America. The study shows that both adults and teenagers are influenced in Korea. We need to develop online application that if cyber bullying behavior was predicted can intervene in real time because these actual cyber bullying-related exposure to psychological and behavioral characteristic.

• International Journal of Computer Science & Network Security
• /
• v.24 no.9
• /
• pp.150-156
• /
• 2024

With the advent of personalized search engines, a myriad of approaches came into practice. With social media emergence the personalization was extended to different level. The main reason for this preference of personalized engine over traditional search was need of accurate and precise results. Due to paucity of time and patience users didn't want to surf several pages to find the result that suits them most. Personalized search engines could solve this problem effectively by understanding user through profiles and histories and thus diminishing uncertainty and ambiguity. But since several layers of personalization were added to basic search, the response time and resource requirement (for profile storage) increased manifold. So it's time to focus on optimizing the layered architectures of personalization. The paper presents a layout of the multi agent based personalized search engine that works on histories and profiles. Further to store the huge amount of data, distributed database is used at its core, so high availability, scaling, and geographic distribution are built in and easy to use. Initially results are retrieved using traditional search engine, after applying layer of personalization the results are provided to user. MongoDB is used to store profiles in flexible form thus improving the performance of the engine. Further Weighted Sum model is used to rank the pages in personalization layer.

• Safety and Health at Work
• /
• v.11 no.4
• /
• pp.385-396
• /
• 2020

Teachers are facing various job demands with psychosocial aspects being fundamental due to the nature of the occupation. Although teachers' work is associated with different psychosocial health risks, little is known on how to identify and tackle those. Thus, a systematic literature search as per the PRISMA statement was conducted via MEDLINE (PubMed), PSYNDEX (PubPsych), and ScienceDirect. Two reviewers independently screened 2261 titles and abstracts and 169 full-texts. According to the inclusion criteria established a priori, articles from peer-reviewed journals (English or German) on psychosocial risk management in teachers were incorporated. Despite a comprehensive and sensitive search, only four publications could be identified, outlining a process to implement risk management and different assessment tools. Taken together, data presented in the articles were scarce. Recommendations for process steps and the assessment of psychosocial risks can be derived from the findings. To implement effective psychosocial risk management in the teaching profession, further research is needed, though. Effective and practicable approaches, which are accepted by the target group, should be further developed and investigated. Relevant causes of occupational strain in the teaching profession must be identified and assessed reliably. Low-threshold interventions should be implemented, and the outcome must be evaluated afterward.

• The Journal of Society for e-Business Studies
• /
• v.18 no.3
• /
• pp.93-105
• /
• 2013

Much Interest has focused on social network services such as Facebook and Twitter. Previous research conducted on social network often emphasized the architecture of the social network that is the existence of path between any objects on network and the centrality of the object in the network. However, studies on the semantic association in the network are rare. Studies on searching semantic associations between entities are necessary for future business enhancements. In this research, the ontology based social network analysis is performed. A new method to search and rank relation sequences that consist of several relations between entities is proposed. In addition, several heuristics to measure the strength of the relation sequences are proposed. To evaluate the proposed method, an experiment was performed. A group of social relationships among the university and organizations are constructed. Some social connections are searched using the proposed ranking method. The proposed method is expected to be used to search the association among entities in ontology based knowledge base.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.583-591
• /
• 2020

Employability has recently become the first target of the national higher education. Its model has been updated to catch the new trend of Industry 4.0. This paper aims at analyzing and ranking the determinants of undergraduate employability, focusing on business and economics majors in Ho Chi Minh City, Vietnam. In-depth interviews with content analysis have been primarily conducted to reach an agreement on a key group of factors: human capital, social capital, and identity. The Stochastic Fractal Search Algorithm (SFSA) is then applied to rank the sub-factors. Human capital is composed of three major elements: attitude, skill, and knowledge. Social capital is approached at both structural and cognitive aspects with three typical types: bonding, bridging, and linking. The analysis has confirmed the change of priority in employability determinants. Human capital is still a driver but the priority of attitude has been confirmed in the contemporary context. Then, social capital with the important order of linking, bridging, and bonding is emphasized. Skill, knowledge, and identity share the least weight in the model. It is noted that identity is newly proposed in the model but a certain role has been found. The findings are crucial for education strategies to enhance university graduate employability.

• Korean Journal of Culture and Social Issue
• /
• v.11 no.4
• /
• pp.23-43
• /
• 2005

The purpose of this study was to investigate the relationship of career indecision, job search behavior, and p-j/p-o fit among college graduates based on sub-scales of career indecision (lack of career information, lack of self-clarity, decisiveness, lack of necessity recognition, external Barrier). This study explored the effect of career indecision on job search behavior and p-j/p-o fit and the effect of job search behavior on p-j/p-o fit in longitudinal method. The main results were as follows: 1) Career indecision had negative effect on job search behavior and p-j/p-o fit. In other words, the higher career indecision level is, the less job search behavior is performed. And the higher career indecision level is, the lower p-j/p-o fit perception is: 2) Career indecision was connected with preparatory job search behavior and informal job search behavior: 3) Decisiveness of career indecision was connected with p-j/p-o fit and lack of self-clarity was connected with p-j fit. 4) Job search behavior was not connected with p-j/p-o fit. Thus job search behavior didn't have prerequisite for mediator between career indecision and p-j/p-o fit. The findings are discussed in terms of the implications for further research.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.33 no.1
• /
• pp.259-277
• /
• 2022

This study aims to understand international students' web search behaviors. During the experiment, fifteen international students were asked to conduct three search tasks which includes six search questions. Depending on the characteristics of search task, there were differences in search performance and search behavior. It was commonly found that participants with higher Korean fluency showed higher search performance; however, prior knowledge about the search topic did not always affect the search performance. In the search tasks that required navigation through menus and links within one web domain, participants often overlooked the correct answers, even if they were at the webpages containing the correct answer. Also, some participants did not realized that they found wrong answers. For enhancing information seeking behaviors among foreigners in Korea, the followings were suggested: 1) to design websites which are easy for non-native speakers to navigate, and 2) to use social media as a means of interactive communication.