• Proceedings of the Technology Innovation Conference
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• 2000.06a
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• pp.105-120
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• 2000

Rapid spread of Internet, there appear so many commercial wedsites. Websites are not only tools to advertise a company or a product, but also value-added products inself. So we need a systematic approach(planning, design, implementation) to develop a website. But existing reserches on website development have corvered only technological issues such as network and HCI(Human Computer Intercation). In this research a framework is proposed to develop a website systematically using database of existing websites. This framework is composed of several stages-target customer segmentation, determination of services on website, dtermination of business model, functinal positioning, and evaution.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.1040-1045
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• 2002

This paper described the developed website usability evaluation system in terms of Kansei engineering using neural network. Developed system simultaneously operates with the MS Internet Explorer by entering the target URL for usability evaluation, and the results are learned using neural network. We firstly derived the Kansei adjectives and website usability factors and they were matched by the correspondence analysis. Then, highly corresponded adjectives were implemented on the system for the Kansei evaluation. Finally, the results showed the appropriate efficiency of developed algorithm and system for the website evaluation. If more subjects were used for the system learning, the efficiency of system could be improved.

• Journal of Korean Elementary Science Education
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• v.29 no.1
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• pp.22-31
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• 2010

In this study, elementary school teachers' needs for the website providing science instructional materials were examined. The participants were 151 elementary school teachers. The test for needs analysis consisted of fifty-three Likert-type items; 24 items for the content of website category and 29 items for the design of website category. Variables about participants' characteristics such as teaching career, the capability of using computers, and the frequencies of searching websites in obtaining science instructional materials were also examined. The results indicated that teachers' needs for the content of website category were significantly higher than those for the design of website category. Teachers' needs were relatively higher in the items concerning flawless materials, consistency of materials with science curriculum and/or learning objectives, information about target grade and/or related topics, free website, and the materials capable of immediate use in the content of website category. The items concerning the stability of website, the accuracy of links, providing easy and reliable searching methods, easy and fast downloading, and providing list of loaded materials showed relatively higher needs in the design of website category. In several items, teachers' needs were also changed with their individual characteristics.

• Journal of Information Science Theory and Practice
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• v.8 no.1
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• pp.45-55
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• 2020

The purpose of this work was to study library website users' actions by tracking their behavior, determining popular content, and identifying browsing patterns and subsequent improvement of access to popular content. The study of behavior models and the use of web analytics has led to the emergence of solutions that improve the usability and functionality of the State Public Scientific-Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS) website. These are: identifying user tasks as they are developed, conducting user testing to better understand the event. tracking data and collecting additional data to verify the effectiveness of the changes made. Examining data on the duration of the session and the number of visits will help determine the goals of user visits and develop new recommendations. Usability analysis and testing will make it possible to compare the data obtained using web analytics and the perception of the library site by the users themselves. Recommendations are offered to libraries on the use of data on the real behavior of the target audience of the library website to improve access to library resources and services, increase their relevance and improve information services.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.237-248
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• 2007

Activating e-commerce, studies about trust of business acquaintance are actively made. This study measured the effect of trust transfer setting up 6 situations according to linking direction, design standard and grasping their trust changes for surveying trust transfer on online. The result is that trust transfer becomes different in accordance with the linking direction of hyperlink. In other words, setting up target site as comparative subject, it is more reliable than single site. Setting up source site as comparative subject, trust changes are slight. This study is composed of 6 good site and 6 poor site. And trust transfer by hyperlink on online is consistent, especially trust transfer is affected by not source site but target site. If target site is poorer than source site, trust transfer originate definitely. So we can draw consistent conclusion that it rate higher than single site. On the other hands, if targer site is better than source site, trust transfer occurs not inter-website. Instead, affected by human mentality, it rates good site higher by conformity reversion.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.535-547
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• 2019

Website localization not only means to transliterate the content and text of the original language web pages, but also adjust it according to the culture and demand of the target language market, so as to improve the acceptance of the local market. From the perspective of localization, this paper analyzes localization strategies and shortcomings of Chinese pages of Jeju official tourist website 'visit Jeju'. First, by comparing the differences between the Chinese web pages and the Korean web pages in the content and text, the localization of the website is summed up, and then the differences are compared with the local tourism website 'Mafeongwo' in China. Not only offering and suggestions for improving the translation quality in the Chinese web pages of 'Visit Jeju'. but also the making some further suggestions for the other Korean websites.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.451-458
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• 2014

The purpose of this paper is to examine website information as well as promotional texts comparing source texts of Korean with translated versions of English, and drew characteristics of tourism texts from a discourse and communicative perspective. This study shows that the website or promotional texts is the first source of information in tourism, which is most referred to by the in-bound tourists, and the information given by the official homepage is most trustful content of Korean tourism. With comparison of source text of Korean with the translated English version, this paper shows that Korean source texts have a tendency to prefer the longer explication and more detailed information on the scenic spots and attractions than the English translations. When it is translated into English, the translated version does not follow the literal way of translation, and is segmented for reader's understanding and adapted following the target language's communicative conventions and the target culture. Consequently, this study supports the adaption in tourism promotional English translation, and ensures that the communicative constraints of tourism, that is, politeness and Grician maxims are preserved even in the written form of communication, translation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.871-883
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• 2014

New types of attacks that mainly compromise the public, portal and financial websites for the purpose of economic profit or national confusion are being emerged and evolved. In addition, in case of 'drive by download' attack, if a host just visits the compromised websites, then the host is infected by a malware. Website falsification detection system is one of the most powerful solutions to cope with such cyber threats that try to attack the websites. Many domestic CERTs including NCSC (National Cyber Security Center) that carry out security monitoring and response service deploy it into the target organizations. However, the existing techniques for the website falsification detection system have practical problems in that their time complexity is high and the detection accuracy is not high. In this paper, we propose website falsification detection system based on image and code analysis for improving the performance of the security monitoring and response service in CERTs. The proposed system focuses on improvement of the accuracy as well as the rapidity in detecting falsification of the target websites.

• Knowledge Management Research
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• v.10 no.1
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• pp.33-51
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• 2009

This study is concerned with exploring how much initial trust transfers between the two websites based on their design levels. Internet users tend to perceive trust towards websites when their design factors look persuasive. For example, well-designed websites can arouse more trust in users than poorly-designed websites. Online trust transfer between websites has been studied among several researchers. However, there is no study investigating how much initial trust transfers from well-designed websites to poorly-designed websites or vice versa. In this sense, this study fills this research void by empirically analyzing initial trust transfer between the two websites based on their design levels. Empirical results prove that design levels of websites affect initial trust transfer between websites significantly.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1158-1159
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• 2013

It gives to users a difficulty for searching between this huge numbers of programs. Searching the best applications for our needs is a big challenge today. In this paper, we propose a study on collaborative filtering based app recommendation system. The proposed method is composed of three steps. In the first step, we extract the data set from the target website. In the second step, we parse the extracted raw data according to the types, and store in a database. In the third, we perform recommendations based on the stored data in database.