• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.461-464
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• 2000

급속한 과학 기술의 발달로 인해 상호간의 정보교환의 요구는 증가하게 되었으나, 서로 다른 시스템 환경으로 인해 정보 교환에 많은 문제점이 발생하였다. XML 기반의 정보 교환은 이를 위한 해결하기 위한 방안이며, 여러 연구자들이 공동으로 의견을 교환하여 작성해야 하는 표준 문서의 관리에 XML을 적용하면 매우 효과적이다. 본 논문에서는 보다 생산적이며 효율적인 표준 관련 문서의 공유 및 상호 교환을 위해 차세대 인터넷 문서의 표준인 XML을 기반으로 문서를 교환하며 이를 효과적으로 저장, 검색, 관리할 수 있는 시스템 모델을 제안하였다. 또한, 표준 제정 과정에서 이루어지는 문서의 편집, 수정, 삭제의 기능을 사용자의 권한에 따라 제한함으로써 효율적인 정보교환 기능을 제안하였다.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.111-118
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• 2011

While sharing information through Internet by Web page or XML, familiar labels of information items will reduce the confusion among users. The advises of the language experts for choosing familiar terms may cost money and time, but an automated Indicator can help a user select right terms without any cost. This paper collects Indicators that can be easily found over Internet and compares the efficiency of them for selecting familiar terms. The collected indicators are the number of words in a term, the frequency used in a related Web sites, and the number of search results in portal sites. The results conclude that the found terms by the frequency matches 76% for women's and 71% for men's, which tells that the frequency can be a reference for selecting familiar terms.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.1
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• pp.77-99
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• 2001

The Request of the information exchange is increasing because of the advanced rapid science and technology. But a different system environment has occurred many problems on the information exchange. The information exchange on based XML is a solution to the problem. It takes effect in the standard document management application that is make standard document to cooperate with many researchers mutually. This paper is design and implementation of system model for efficient exchange, store, search and manage document on based XML document in established course of standard document.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.4
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• pp.93-111
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• 2007

The Internet is now an integral part of the everyday lives of a majority of people. Web users are becoming increasingly skeptical of the information and services offered online. They are demanding web sites that offer credible information. This study focused on what features of web sites affect the perception of web credibility. For this purpose, I took the responses from 648 people and extracted 49 factors that affect web credibility. I placed the individual factors - the specific questions asked in the survey - into one of four categories expertise. trustworthiness, ads and other and calculated the means for each of the 49 factors. As a result, 29 out of 49 factors increase the Perceptions of credibility and 20 factors decrease the web credibility. Sites with frequently update. the credentials of authors, strict content guides, search capabilities, clear connections to the real world fared good in credibility. Technical problems such as broken links, site sown, or typographical errors were rated the most negative on this scale On the other end of the scale, a domain name that ends in' .org' or' .or.kr' caused little change in perception of credibility.

• The Journal of Society for e-Business Studies
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• v.21 no.1
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• pp.15-32
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• 2016

Online news on the Internet, as published open data, contain facts or opinions about a specific affair and hence influences considerably on the decisions of the general publics who are interested in a particular issue. Therefore, we can predict the people's choices related with the issue by analyzing a large number of related internet news. This study aims to propose a text analysis methodto predict the outcomes of events that take place in a specific place. We used topics of the news articles because the topics contains more essential text than the news articles. Moreover, when it comes to mobile environment, people tend to rely more on the news topics before clicking into the news articles. We collected the titles of news articles and divided them into the learning and evaluation data set. Morphemes are extracted and their polarity values are identified with the learning data. Then we analyzed the sensitivity of the entire articles. As a result, the prediction success rate was 70.6% and it showed a clear difference with other analytical methods to compare. Derived prediction information will be helpful in determining the expected demand of goods when preparing the event.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.51-72
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• 2010

The purpose of this study is to explore usefulness of the Library of Congress Subject Headings(LCSH)for librarians as an information access point. Sixty four librarians at the University of Washington(UW)and 67 librarians from the Council on East Asian Libraries(CEAL) participated through web surveys about LCSH and 9 librarians from UW and 10 librarians from CEAL joined in-depth interviews and e-mail correspondences. It was concluded that LCSH was very useful for finding other related materials as a subject access point. However, there were two necessary improvements recommended for the LCSH. First of all, in aspect of terminology, subject headings should be more familiar to the public with currency and show clear definitions and relationships. Second, with regard to the structure of LCSH, it should have simplicity, ease of use, and consistency when using combinations of subject headings. Since many other countries are using or adapting LCSH, its effect can be very strong. Therefore, the meaning of "Tok Island (Korea)" as well as diplomatic and scholarly efforts with sensing movements of other countries.

• Journal of the Korean Institute of Gas
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• v.7 no.1 s.18
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• pp.1-9
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• 2003

A Multi-distinction Equipment Screening Algorithm (MESA) is proposed. It selectively integrates Dow's F&EI as its process hazard index technique and ESA (Equipment Screening Algorithm) as qualitative hazard classification technique, and retrieves a detailed list of hazardous equipments with the total hazard indices of those equipments. The inherent expert system, which includes the accident scenarios of the equipments and processes and experts' views of them, narrows further down the list of hazardous equipments and recommends only the most notable candidates. Through the case study of distinguishing the hazardous ranking of the equipments of the LPG underground storage process, using the expert system or not, the applicability of MESA has been validated. Taking the characteristics of the process equipments with hazardous ranking in the point of process intrinsic safety, this proposed algorithm would contribute to providing engineers or managers with information on constructing safely devices and mitigation devices and on scheduling emergency response planning.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.613-621
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• 2021

This study conducted a network analysis to determine how COVID-19 vaccine-related issue spread on Twitter during the introduction stage of the COVID-19. Issue diffusion tendency is analyzed according to the time period: phase 1 (initiation of vaccine introduction: March 7 - April 3, 2021), phase 2 (stagnant period of vaccination: April 4 - April 22, 2021), and phase 3 (increase of vaccination: April 23 - May 5, 2021). NodeXL was used for data collection and analysis. Daily Twitter network data were collected by entering search terms highly related to the COVID-19 vaccine. This study found that side effects-related opinions were repeatedly formed throughout the analysis period. As the vaccination rate increased and death cases were reported on media, death-related issues also emerged on Twitter. On the other hand, vaccine safety did not receive much attention on Twitter. The results of this study highlight the role of social media as a channel of issue diffusion when a national disaster strikes. We emphasize the need for the government to monitor public opinions on social media and reflect them in crisis communication strategies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.75-90
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• 2013

Given the context that users are actively using social media with multimedia embedded information, the purpose of this study is to demonstrate how images are used within Twitter messages, especially in influential and favorited messages. In order to achieve the purpose of this study, the top 200 influential and favorited messages with images were selected out of 1,589 tweets related to "Boston bombing" in April 2013. The characteristics of the message, image use, and user are analyzed and compared. Two phases of the analysis were conducted on three data sets containing the top 200 influential messages, top 200 favorited messages, and general messages. In the first phase, coding schemes have been developed for conducting three categorical analyses: (1) categorization of tweets, (2) categorization of image use, and (3) categorization of users. The three data sets were then coded using the coding schemes. In the second phase, comparison analyses were conducted among influential, favorited, and general tweets in terms of tweet type, image use, and user. While messages expressing opinion were found to be most favorited, the messages that shared information were recognized as most influential to users. On the other hand, as only four image uses - information dissemination, illustration, emotive/persuasive, and information processing - were found in this data set, the primary image use is likely to be data-driven rather than object-driven. From the perspective of users, the user types such as government, celebrity, and photo-sharing sites were found to be favorited and influential. An improved understanding of how users' image needs, in the context of social media, contribute to the body of knowledge of image needs. This study will also provide valuable insight into practical designs and implications of image retrieval systems or services.

• Journal of Food Hygiene and Safety
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• v.32 no.4
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• pp.306-313
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• 2017

This study systemically analyzed the data on the microbial levels in fresh vegetables in Korea to identify the points to control. We scanned the studies published between 2001 and 2015 in peer-reviewed research papers on the microbial levels in fresh vegetables produced in Korea. Plant products were categorized by using the US IFSAC (Interagency Food Safety Analytics Collaboration) category. The most consumed, the non-heat treated, the epidemiological foodborne diseases sources of fresh vegetable in foodservice (KCDC data) were identified by literature review. Articles were screened using National Digital Science Library (NDSL) search engine regarding to microbial hazards in plant products. Based on the total plate count number and coliforms on the 89 data cases from 26 published articles, the total plate count number was high in the order of sprouts, leaf and stem, bulbs and roots, vine-grown, solanaceous, melons, and pome. Escherichia coli was frequently detected in leaf and stem and sprouts products. Focused on the microbial data of leek, lettuce and cabbage, the levels of total plate count, coliforms and Bacillus cereus showed the levels of 4.15~7.69 log CFU/g, 1~6.99 log CFU/g, and 0.51~3.9 log CFU/g, respectively, by 33 published papers. The levels of environmental factors affecting the microbial safety of lettuce and leek before harvest were investigated. Manure, soil, hands, scale, gloves were the major potential microbial contamination points to control. In addition, GAP (good agricultural practice), microbial testing, and improvement of irrigation methods are required to provide the safer fresh produce.