• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.346-349
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• 2007

In this paper, the integrated search system made for the web news and review retrieval service is introduced. We made XSLTRobot that extract title, date, author and content from html document like news or reviews for search service. XSLTRobot used the XSLT technology in order to extract desired part of html page. The Intergrated Information Retrieval System(IIRS) is suitable for various search data format. And we introduce Dynamic Index Storage which is module of IIRS. Dynamic Index Storage is used to environment which needs fast index update like news. And it's design focused on retrieval performance because there was not many document that it has to update on a real time.

• Korean journal of communication and information
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• v.21
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• pp.177-201
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• 2003

This study was designed to explore behaviors of readers of online papers. First, the factor analysis of the online paper motive statements yielded three interpretable factors : informativeness, convenience, economicalness. For online paper use habits, a similar factor analysis procedure resulted in three factors : active utilization, news seeking, information seeking. Informativeness motive and active utilization habit were strongly related, convenience motive and news seeking habit related. Online papers and newspapers were found to be in complementary relationship. Internet access and newspaper reading, active utilization and news seeking habits were significant predictors of online paper use. The result of this study showed online paper readers perceived interactive services online papers offered. and want to utilize those effectively. This study suggests that online papers need to develop various interactive services to attract readers.

• 정보보호뉴스
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• s.129
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• pp.27-29
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• 2008

정보보호 부서 이동 후 새로운 업무를 이해하는 것만으로 한 달을 소비한 김 대리. 그렇다고 성과가 전혀 없던 것은 아니었다. 어떤 웹 사이트가 유용한 정보를 제공하고 있는지 알게 됐고, 악성코드나 바이러스처럼 간혹 언론매체를 통해 접했던 정보보호 관련 용어가 더 이상 낯설지 않게 됐다. 무엇보다 '환상'기업의 보안관으로서 어떤 활동을 해야 할 것인지를 이해했다는 점에서 김 대리에게 지난 한 달은 의미있는 시간이었다. 하지만 이제 막 한숨을 돌린 김 대리는 또 다른 난관에 봉착했다. 경영진으로부터 환상기업의 정보보호 수준을 수치화해 보고하라는 지시가 내려온 것이다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.484-486
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• 2003

무선 인터넷은 현재까지는 주식. 연예뉴스 등 간단한 정보 서비스에 머물고 있지만, 곧 E-Commerce의 대표적인 거래 형태가 무선 인터넷의 영역으로 확장될 것이라 예상된다. 그러나 국ㆍ내의 무선 통신 업체들은 상품 정보를 활용하지 못하고, 별도의 무선 사이트를 구축하여 서비스하고 있는 실정이다. 본 논문에서는 인터넷상의 상품정보를 모바일 폰상에 효과적으로 디스플레이하는 방법을 고려한다. 먼저. 모바일 폰은 데스크탑 PC에 비하여 처리능력이 상대적으로 크게 떨어진다는 사실을 고려하여, 모바일 폰상에서 XML 상품 정보에 대한 객체를 구성하는 여러 가지 방법들을 제시한다. 다음에, 제안된 방법들을 모바일 폰의 응답시간과 메모리 사용량의 관점에서 실험을 통해서 비교, 분석한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.63-71
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• 2011

The current Web portal sites provide significant keywords with high popularity or importance; specifically, user-friendly services such as tag clouds and associated word search are provided. However, in general, since news articles are classified only with their date and categories, it is not easy for users to find other articles related to some articles while reading news articles classified with categories. And the conventional associated keyword service has not satisfied users sufficiently because it depends only upon user queries. This paper proposes a way of searching news articles by utilizing the keywords tightly associated with users' queries. Basically, the proposed method discovers a set of keyword association patterns by using the association rule mining technique that extracts association patterns for keywords by focusing upon sentences containing some keywords. The method enables users to navigate the space of associated keywords hidden in large news articles.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.935-945
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• 2021

The purpose of this study is to analyze the social perception of Arduino lecture using big data analysis method. For this purpose, data from January 2012 to May 2021 were collected using the Textom website as a keyword searched for 'arduino + lecture' in blogs, cafes, and news channels of NAVER website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by opening the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis such as frequency analysis, TF-IDF analysis, and degree centrality it was confirmed that 'education' and 'coding' were the top keywords. As a result of CONCOR analysis for semantic network analysis, four clusters can be identified: 'Arduino-related education', 'Physical computing-related lecture', 'Arduino special lecture', and 'GUI programming'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to Arduino lecture on the Internet. The results of this study will be used as data that provides meaningful implications for instructors preparing for Arduino lectures, researchers studying the subject, and policy makers who establish software education or coding education and related policies.

• Korean journal of communication and information
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• v.46
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• pp.177-211
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• 2009

The purpose of this study is to investigate how portal users recognize the role and function of the portal as a press. Furthermore, this study aims to analyze the pattern of portal news use among portal users and their recognition about replies to news. For this, we conducted online survey of 1,036 people aged from 15 to 45, who used portal site at least once a week. As a result, most users(70.8%) agreed that portal news played a role as a press with other media. In addition, six out of ten agreed that portal news set the agenda of society. These results suggest that portal users think highly of the social impact and responsibility of portal in society. However, about 40 percent of respondents said that they did not trust in information shown in replies to news and many replies to news were written by albeit. Six out of ten thought that replies to news were written by intention. Therefore, to manage the quality of replies to news is necessary to secure the credibility of portal news. As respondents use portal news often, they tend to think that portals are convenient to use and their social impact is very large, at the same time considering their sensation and commercialization. On the other hand, as portal users use the internet often, they tend to think that portals are convenient to use and their social impact is immense. However, there was no significant relationship between income and portal users' recognition of portals as the press.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.177-185
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• 2021

This paper aimed to grasp what the percentage in the types of news stories on the online broadcast is, which was conducted by analyzing the news stories of 9 broadcasting websites on the Naver newsstand. For the analysis, a total of 270 days' samples were selected, including 30 days per broadcast on 9 broadcasting websites. For a method of analysis, One-way ANOVA was used to examine the difference among broadcasting websites. The analysis was made centering with priorities given to the type of news stories by the composition of language, the type of genre as a standard of stories, and so on. As a result of analysis, all the programs in the off-line broadcast have been produced and transmitted as a video-typed story, but a half of those in on-line broadcast have been made up of the stories composed of photo and text. The online newspaper has been producing a new type of news' story using video-typed story or computer graphic while the online broadcast has actively been utilizing stories composed of photos and text, which are types of newspaper's stories. From above-mentioned results, it can be understood that the boundary among media is getting more and more indistinct on the environment of online media, showing the phenomenon that the type of broadcast's stories is becoming old-fashioned.

• The Journal of the Convergence on Culture Technology
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• v.3 no.1
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• pp.19-23
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• 2017

With the increase in the number of smart phone users, smart phones themselves are seeing progress in terms of available functions. Many applications, too, are being developed to increase convenience in daily life. This study issued a list of information on films that the user wishes to see, by using an XML parser to call news articles related to the films in question to the news site RSS. The Android App server was built using Ubuntu and the latest film information was provided through the board that was built. The menu was consisted in a manner so that when the information interested was clicked on, a more detailed set of information became available.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.17-20
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• 2018

대중의 관심인 공공이슈를 파악하기 위하여 다양한 종류의 빅데이터를 분석하는 연구가 진행되고 있다. 그러나 기존의 연구에서는 키워드의 노출 횟수만 파악하여 결과로 반영한다. 본 논문은 포털 사이트로부터 얻은 언론사별 뉴스 빅데이터를 이용하여 키워드별 노출 빈도수, 댓글 수 및 추천 수를 반영한 분석 방법을 제안하였다. 공공이슈를 추출하여 얻어낸 키워드들을 워드클라우드, Sankey다이어그램과 같은 형태로 시각화하여 사용자에게 제공한다. 제안된 방법을 사용하면 대중의 반응을 반영한 분석 결과를 확인 할 수 있다.