• Journal of Information Science Theory and Practice
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• 제8권4호
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• pp.6-19
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• 2020

The objective of this research is to analyze which functions make up web-based as well as mobile social media services and messengers. Services are clustered by their functionality. A total of 640 individual functions were identified, while investigating altogether 44 selected services in their web and mobile versions. Applying content analysis, functions were assigned to the services. The services were ranked by the number of implemented functions, and the functions were ranked by their occurrence in the services. Cluster analysis was applied to classify the services according to their functionality. Facebook and VKontakte were found to be the ones with the most functions; the most frequently implemented functions are support, profile, and account-related. Cluster analysis revealed six classes for mobile and seven classes for web applications. There is a noteworthy difference regarding the functionality scope between web and mobile applications of the same services. An example for this is Mendeley with 38 functions in the mobile and 91 functions in the web version. This is the first empirical attempt at clustering social media services based on their functionality.

• 대한인간공학회지
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• 제18권3호
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• pp.41-53
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• 1999

More than twenty HRA (Human Reliability Analysis) methodologies have been developed and used for the safety analysis in nuclear field during the past two decades. However, no methodology appears to have universally been accepted, as various limitations have been raised for more widely used ones. One of the most important limitations of conventional HRA is insufficient analysis of the task structure and problem space. To resolve this problem, we suggest a framework of informational analysis for HRA. The proposed informational analysis consists of three parts. The first part is the scenario analysis that investigates the contextual information related to the given task on the basis of selected scenarios. The second is the goals-means analysis to define the relations between the cognitive goal and task steps. The third is the cognitive function analysis that identifies the cognitive patterns and information flows involved in the task. Through the three-part analysis. systematic investigation is made possible from the macroscopic information on the tasks to the microscopic information on the specific cognitive processes. It is expected that analysts can attain a structured set of information that helps to predict the types and possibility of human error in the given task.

• 한국언어정보학회지:언어와정보
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• 제19권1호
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• pp.1-18
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• 2015

Korean marks case for subjects and objects, but it is well known that case-markers can be dropped in certain contexts. Kwon and Zribi-Hertz (2008) establishes the phenomenon of Korean case drop on a single factor of f(ocus)-structure visibility and claims that both subject and object case drop can fall under a single linguistic generalization of information structure. However, the supporting data is not empirically substantiated and the tenability of the f-structure analysis is still under question. In this paper, an experiment was conducted to show that the specific claims of Kwon and Zribi-Hertz's analysis that places exclusive importance on information structure cannot be adequately supported by empirical evidence. In addition, the present study examines H. Lee's (2006a, 2006c) multi-factor analysis of object case drop and investigates whether this approach can subsume both subject and object case drop under a unified analysis. The present findings indicate that the multi-factor analysis that involves the interaction of independent factors (Focus, Animacy, and Definiteness) is also compatible with subject case drop, and that judgments on case drop are not categorical but form gradient statistical preferences.

• 한국문헌정보학회지
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• 제37권4호
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• pp.53-68
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• 2003

본 연구는 최근 정보업무의 실제영역에서 정보의 부가가치와 정보서비스의 경제성 문제가 점점 중요한 문제로 부각되고 있는 현상을 그 배경으로 한다. 본 연구의 목적은 정보의 가치와 정보의 효율성 측정에 관한 논의를 통해 정보의 경제성 문제를 정보학적 관점에서 재조명하기 위한 것이다. 분석 결과 정보의 부가가치에 관한 논의는 수량화가 어려운 효과적 측면과 관련되며, 효율성 측면에서 바라볼 경우 정보의 경제성 분석은 비용편익 분석과 거의 동일한 개념임을 보여주고 있다. 본 연구는 또한 국립디지털도서관 DLP에 대한사례연구를 통해 정보학의 실제 분야에 적용할 수 있는 경제성 분석의 실험적 모형을 제시하였다.

• 한국비블리아학회지
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• 제28권3호
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• pp.67-93
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• 2017

본 연구는 언어 네트워크 분석을 통해 재난정보와 관련한 국내 연구동향 분석을 목적으로 한다. 이를 위하여 학술연구정보서비스(RISS)를 검색하여 2008년부터 2017년 사이에 발간된 재난정보와 관련한 국내 학위논문 및 학술지논문 312건을 수집하였다. 그리고 논문들의 서지사항을 토대로 통계분석을 실시하였다. 뿐만 아니라 연구논문들의 논문명을 대상으로 키워드를 추출하여 빈도분석 및 언어 네트워크 분석을 실시하였다. 분석 결과, 최근 재난분야에서 빅데이터와 관련한 연구가 급증하였으며, 재난정보 공유 및 활용의 중요성이 증대되고 있다. 또한 재난대응을 위하여 공간정보, 실시간정보, 지리정보 등 다양한 유형의 재난정보가 활용되고 있었다.

• 가정과삶의질연구
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• 제21권3호
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• pp.75-85
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• 2003

This study is aimed at sowing two purposes. The first is to analyze the real condition and demand of profession development from the human ecology majors. The second is to develop necessary methods in which ordinary people can collect necessary information about family life. Related questionnaire was distributed to 147 the human ecology majors, and analysis was performed on the several web sites providing with information related to family life. Web sites such as“www.yahoo.com”and“www.naver.com”were included in the analysis. Questionnaire consisted of questions about whether the students majoring in the human ecology were familiar with the information-related terms or futuristics-related books, and whether they have ever taken the related courses in college. The results of analysis are as follows: First, analysis shows that the present level of the human ecology majors' information orientation and networking experiences is extremely low. Secondly, according to the analysis on whether they have optimistic or pessimistic attitude toward the contemporay informatized society, the human ecology majors have rather optimistic attitude in group while having pessimistic one individually. As to their response to the question about whether informatized society is connected with industrial society or not, the human ecology majors are divided in neatly equal ratio. Thirdly, analysis of the human ecology majors' understanding of profession relevant to their major indicates that they have high level of perception and information about the professions of fashion designing, traditional garment designing, nutrition counselling or consumer counselling. On the other hand, they are not familiar with the information about professions such as professional QR Programming, eating habit-related information business and family welfare. Lastly, level of web sites supplying information about family life is fragmentary. Especially, probe into the directories providing with necessary information of family life subdivided into special areal of life shows that they lack systematic organization making more convenient consumer use.

• 디지털산업정보학회논문지
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• 제13권4호
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• pp.125-139
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• 2017

In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.

• 한국의류학회지
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• 제30권9_10호
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• pp.1423-1433
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• 2006

The purpose of this study is to explore the impact of window information on consumers' willingness to visit a fashion store according to their clothing shopping orientation. The sutjects of the research are conveniently selected females over the age of 20 living in Busan. A total of 202 questionnaire are collected far data analysis. The results of this study are as follows: 1. The factor analysis to identify the clothing shopping orientation showed four factors, such as hedonic, planned, independent/loyalty, and impulsive/convenience. A cluster analysis conducted by the four factors resulted in four patterns - utilitarian shopping orientation group, impulsive/convenience shopping orientation group, hedonic shopping orientation group, independent/loyalty shopping orientation group. 2. The window information conducted by factor analysis were divided into the four levels-product information, promotion information, fashion information, and store image. 3. A one-way ANOVA analysis carried out to find the window information effects among the groups revealed that there were significant differences in the factors of promotion information, fashion information, and store image. 4. Multi-regression analysis was conducted in order to find the impact of window information on the consumers' willingness to visit a fashion store. As a result, fashion information had the most impact on utilitarian shopping group, while product information, promotion information and store image had a great impact on impulsive/convenience shopping orientation group, fashion information and store image had the most impact on hedonic shopping orientation group.

• 정보관리연구
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• 제36권4호
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• pp.137-153
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• 2005

정보 시스템을 이용한 정보 서비스의 향상을 위해서는 이용자의 이용기록을 저장하고, 이를 분석하고 검토함으로써 개선된 서비스를 제공할 수 있는 프로세스의 도입이 요구되고 있다. 또한, 정보센터의 기관특성과 서비스 전략에 따라 필요로 하는 이용기록 및 분석방법에도 차이점이 나타날 수 있다. 본 연구에서는 이용자가 정보 센터에서 제공하는 정보 서비스를 활용하면서 발생하는 이용기록에 대하여 유형별 특징을 살펴보았다. 또한 이를 실제로 운영하는 정보 센터의 분석사례를 통하여 정보 서비스를 개선할 수 있는 구체적인 방안을 모색하였다.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.112-122
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• 2022

Food security and its sovereignty have become among the most important key issues due to changes in the international situation. Regarding these issues, many countries now give attention to smart agriculture, which would increase production efficiency through a data-based system. The Korean government also has attempted to promote smart agriculture by 1) implementing the agri-food ICT (information and communications technology) policy, and 2) increasing the R&D budget by more than double in recent years. However, its endeavors only centered on large-scale farms which a number of domestic farmers rarely utilized in their farming. To promote smart agriculture more effectively, we diagnosed the government R&D trends of smart agriculture based on NTIS (National Science and Technology Information Service) data. We identified the research trends for each R&D period by analyzing three pieces of information: the regional information, research actor, and topic. Based on these findings, we could suggest systematic R&D directions and implications.