• Title/Summary/Keyword: BLOGs

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Efficient Blog Retrieval System by Topic-based Weighting (주제어 가중치 기법에 의한 효율적인 블로그 검색 시스템)

  • Shin, Hyeon-Il;Yun, Un-Il;Ryu, Keun-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.4
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    • pp.1-9
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    • 2010
  • In the new generation of Web, commonly called "Web 2.0", blogging has facilitated the publishing information or his/her opinion on the web. Various blog retrieval algorithms have been proposed to search for blogs more effectively. However, actually keyword-based searching or link-analysis blog ranking system cannot satisfy the user's requirement. In this paper, we suggest a topic-based weighting blog retrieval system in which the links between blog writings and searching words are considered to improve the search results. Our system extracts topics from each blog and weights them much higher than other guide words. In the comparison with other systems, we see that the proposed topic-base system has better recall rate of search results.

Content Analysis of Dibrary Portal Services (디브러리 포털서비스 콘텐츠 분석)

  • Cho, Chan-Sik
    • Journal of the Korean Society for information Management
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    • v.28 no.3
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    • pp.275-293
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    • 2011
  • Due to changes in information technology and the information environment, portal services, including library service, which systematically provides information needed on the Internet have become popular in our daily lives. In light of that, this study, in order to enhance our understanding on portal services, examines and analyzes Dibrary, the National Digital Lirary, portal services including main portal, regional information, policy information, multicultural information, the information for the handicapped, and the Dibrary blogs. Accordingly, the emphasis has been put on decency, accuracy, usefulness/user-friendliness, and publicity/promotion for the diffusion and activation of Dibrary portal services.

A Development of RSS-based Educational Information System for Providing Adapted Information (맞춤형 정보제공을 위한 RSS 기반 교육정보시스템의 개발)

  • Kang, Jeong-Min;Chun, Seok-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.5
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    • pp.293-302
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    • 2007
  • In this study, we develop a RSS-based educational information system for providing users, such as teachers, students, and parents of students with an adapted information. In order to collect an educational information from diverse web pages we design a web-based RSS reader. The RSS reader reads RSS files from the web sites or blogs which provide RSS feeds and then creates XML documents. The created XML documents are classified and registered into the system. Whenever the registered web-pages are updated, the system can automatically collect the updated information and provide the user with it. Therefore the user can be provided a real-time adapted educational information without searching web-sites from the system.

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Awareness and Information Acquisition Behavior Regarding Food Hygiene and Safety of College Students in Yeungnam Region (영남지역 대학생의 식품 위생 및 안전성에 대한 인식도와 정보획득행동에 관한 연구)

  • Kim, Mee-Ra;Kim, Hyo-Chung
    • Journal of the East Asian Society of Dietary Life
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    • v.22 no.2
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    • pp.305-314
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    • 2012
  • This study examined awareness and information acquisition behavior regarding food hygiene and safety and information search behavior of college students. The sample was obtained from 284 students in Yeungnam region through a self-administered questionnaire. To describe characteristics of the respondents, frequency distributions were used. In addition, $t$ tests, analysis of variance and Duncan multiple range tests were conducted. Data were analyzed by SPSS Windows V.18.0. The results of the study were as follows: (1) most respondents were concerned about food hygiene and safety. They were mostly interested in the expiration date label on breads, milk/dairy products, fish products and meat products, and price of cookies. Many respondents answered that foods produced and distributed in Korea were not safe. The respondents were most worried about endocrine disruptors among various food risk factors. The respondents received information on food hygiene and safety from blogs, mini-homepages, or Kin-searches on the Internet, electronic media, and food labeling in decreasing order.

The Experience of Cultural Facility Use of North Korean Refugee Mothers with Young Children (유아기 자녀를 둔 북한이탈주민 어머니의 문화시설 이용 경험)

  • Jo, Hye-Young;You, Jae-Kyung
    • Korean Journal of Childcare and Education
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    • v.12 no.4
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    • pp.41-69
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    • 2016
  • The purpose of this study is to promote the use of cultural facilities of North Korean refugee mothers with young children by finding out their past experience of cultural facility use. The subjects of this study were 183 North Korean refugee mothers with young children and a total of four research participants. A survey and in-depth interviews were used to draw reliable research results. The research results are as follows: First, as to uses of cultural facilities, North Korean refugee mothers with young children got information about cultural facilities through the Internet community such as Internet cafes and blogs. Their considerations for using cultural facilities were diversity of activity programs and subdivision of performances and arts activities. Over 50% of mothers responded that cultural facilities were needed to enhance the creativity of their children. Second, concerning difficulties of cultural facility use, the most difficulty was high costs, and the second most difficulty was absence of cultural facilities nearby their residence. Third, as to the needs of cultural facility use, a children's library was needed the most for children's development. They responded that the most necessary policy for cultural facility use was to increase cultural vouchers for low-income households and to expand recipients of these vouchers.

All rants and no substance?: A new framework for studying the rationality of cyberspace

  • Soon, Carol;How, Tan Tarn
    • Journal of Contemporary Eastern Asia
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    • v.16 no.2
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    • pp.20-43
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    • 2017
  • While the Internet has been used to galvanise people for the collective good, many have voiced concerns over the noise and vitriol present online and polarisation. In Singapore where the government regulates traditional mainstream media such as print and broadcast, the online space has been described as a "Wild Wild West" rife with rumours, untruths and misinformation. Such developments do not only exert a potential negative effect on the deliberative nature of public discourse but also skew bias towards the online space, affecting the ability of online users to communicate with authority and power. This study seeks to examine the rationality of the cyberspace through using a new "rationality" framework to analyse political discourse online. Comprising objectivity, emotionality and partisanship, the rationality framework was applied to a content analysis of 197 blogs with political content in 2014. The analysis indicated that the online political space was not the Wild Wild West that it was touted to be with significant levels of objectivity and non-partisanship. There was a stark absence of emotional discourse, and relationships were observed between bloggers' anonymity and rationality. Cognisant of academia's and policymakers' interest on the quality and effects of online discourse, the proposed analytical framework and the study findings hold implications for both developed and developing countries.

A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms- (빅데이터 텍스트 분석을 기반으로 한 패션디자인 평가 연구 -디자인 속성과 감성 어휘의 의미연결망 분석을 중심으로-)

  • An, Hyosun;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.3
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    • pp.428-437
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    • 2018
  • This study derives evaluation terms by analyzing the semantic relationship between design elements and sentiment terms in regards to fashion design. As for research methods, a total of 38,225 texts from Daum and Naver Blogs from November 2015 to October 2016 were collected to analyze the parts, frequency, centrality and semantic networks of the terms. As a result, design elements were derived in the form of a noun while fashion image and user's emotional responses were derived in the form of adjectives. The study selected 15 noun terms and 52 adjective terms as evaluation terms for men's striped shirts. The results of semantic network analysis also showed that the main contents of the users of men's striped shirts were derived as characteristics of expression, daily wear, formation, and function. In addition, design elements such as pattern, color, coordination, style, and fit were classified with evaluation results such as wide, bright, trendy, casual, and slim.

Private Contents Management and Sharing Service with Voluntary Sharing Economy System (자발적 공유 경제 방식의 개인 콘텐츠 관리 및 공유 시스템)

  • Ryu, Hyesong;Hong, Kwangjin;Jung, Keechul
    • Journal of Korea Multimedia Society
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    • v.19 no.9
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    • pp.1698-1709
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    • 2016
  • These days, anyone can easily product and share their own content through a web service such as blogs and SNS. However, contents are being operated separately because of the space limitation in individual SNS. Therefore, it is hard to search contents efficiently in individual SNS. To solve this problem, this paper propose a "Private Contents Management and Sharing Service with Voluntary Sharing Economy System." The system is in part [Input], [Save] and it provides a way to collect the content that are scattered on the Internet based on the creation of personal index. It also proposes a more systematic content management and sharing by creating and updating the website standard index by introducing an index Coordinator concept. Furthermore in [Use] section, by providing a portion of the index as the primary search results, it avoid unclassified content list which was simply collected by users. In conclusion, unlike previous studies, this system will contribute to the acquisition and management of interspersed content and ultimately contribute to the shared activation by preventing secondary processing and unauthorized processing to the original article.

National Image of South Korea Held by Russian Netizen: Focusing on Internet Blogs and Survey analysis (러시아인들의 한국에 대한 이미지 연구 - 인터넷 블로그 분석 및 설문조사를 중심으로)

  • Kang, Su Kyung
    • Cross-Cultural Studies
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    • v.26
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    • pp.379-404
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    • 2012
  • This study aims to investigate national image of South Korea held by russians. Surveys(based on Free-association Image) and discussion were conducted on LiveJournal (internet blog) with russian netizen. A national image is influenced by a subjective perspective rather than an objective one. Therefore, an image can differ substantially from reality. Futhermore, it takes a long time to change an established image, particularly to a positive image. According to the results, the image of South Korea were dominated by unstable political situations, especially factors related to North Korea. In addition, based on Free-association image, thinking about Korea or Korean, most russians recognize Korea(South) with North Korea. Above all Russians recognize Korea, basing their images on factor of the past or their neighbors-russian korean- or famous Korean brand like Samsung, LG, Hyndai, "Dosirak". Russian netizen did not recognize South Korea as one of leading countries in Asia, paying little attention to South Korea compared to China or Japan. We belive that it is necessary to consider these situations in future efforts to enhance the national image of South Korea.

Cultural Region-based Clustering of SNS Big Data and Users Preferences Analysis (문화권 클러스터링 기반 SNS 빅데이터 및 사용자 선호도 분석)

  • Rho, Seungmin
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.670-674
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    • 2018
  • Social network service (SNS) related data including comments/text, images, videos, blogs, and user experiences contain a wealth of information which can be used to build recommendation systems for various clients' and provide insightful data/results to business analysts. Multimedia data, especially visual data like image and videos are the richest source of SNS data which can reflect particular region, and cultures values/interests, form a gigantic portion of the overall data. Mining such huge amounts of data for extracting actionable intelligence require efficient and smart data analysis methods. The purpose of this paper is to focus on this particular modality for devising ways to model, index, and retrieve data as and when desired.