• Title/Summary/Keyword: 정보포털

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A Study on the model of CCTV Image Information Integration portal (CCTV 영상자료 통합포털 구축 모델에 관한 연구)

  • Kang, Poo-Reum;Kim, Kui-Nam J.
    • Convergence Security Journal
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    • v.12 no.2
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    • pp.43-51
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    • 2012
  • CCTV would be the effective way in the prevention of abuse, as well as recorded image information evidence of the crime as a significant legal effect. But recorded image information As evidence by utilizing the Complaint/complaint handling, and administrative business processes that are currently operating offline procedural complexity and unnecessary time appear costly, privacy remains an issue to be solved, etc. Runoff. In this paper, incidence rate of offline business processing phase to solve the problems proposed to build unified portal for CCTV image information and the existing studies on the effectiveness of electronic civil service system, previous studies by analyzing e-government in accordance with laws and privacy laws, CCTV image information portal deployment model is applied to data integration occurs are trying to solve the problem effectively.

A study to Analyze the Korean National Knowledge Distribution Status and to Generate Suggestions for Developing a Distribution Model (국가지식정보의 유통 현황 분석 및 유통방안에 관한 연구)

  • Lee, Jee-Yeon;Min, Ji-Yeon;Joo, Soo-Hyung
    • Journal of the Korean Society for information Management
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    • v.24 no.3
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    • pp.299-319
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    • 2007
  • Recently, information portals, national institutions, and integrated information centers, which are eager to acquire quality contents, actively share contents. Korean national knowledge is recognized to be superior in terms of its specialty and reliability. Currently, the distribution of national knowledge in Korea is at the beginning stage as the content sharing was intended to enhance the users' accessibility to the information and ease of information use. In this study, we identified the national knowledge distribution status in Korea and abroad by analyzing the roles of the information providers, information search portals, and Korea Knowledge Portal. We also conducted in-depth interviews with six experts, who represent academic institutions, libraries, specialized information centers, and commercial ventures. To enable effective Korean national knowledge distribution, we generated suggestions for the respective information providing services to share and cooperate based on the analysis and tile Interviews.

Design and Implementation of Portal for Sharing Health Knowledge in Korean Medicine (한의 건강 지식의 공유를 위한 포털의 설계 및 구현)

  • Nam, Bo-Ryeong;Kim, Sang-Hyun;Lee, Myung-Ku;Kim, Sang-Kyun
    • The Journal of the Korea Contents Association
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    • v.16 no.6
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    • pp.614-626
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    • 2016
  • In this paper, we designed and implemented KOIN(Korean medicine 人, http://www.koin.re.kr), a Korean medicine knowledge portal. While there were several portals in the Korean medicine field, they provided technical contents and communities for doctors and researchers of Korean medicine. The usual portals such as naver provide the contents which the general public can understand, but their consistency and reliability are deficient. In this paper, first of all, requirements for the Korean medicine portal have been surveyed to supply contents and services for the general public. The requirements were reflected to the functions of our portal and the construction of Korean medicine knowledge for the general public. In future, we will continue to add the useful health knowledge in Korean medicine as well as actively operate Korean medicine communities so that users can obtain Korean medicine knowledge easily.

A study on distribution comparison of response packets for major portal sites (주요 포털사이트의 응답패킷분포에 관한 연구)

  • Ryu, Gui-Yeol
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.3
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    • pp.437-444
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    • 2013
  • The object of study is to verify the distributions of response packets of 3 portal sites such as Naver, Daum, Nate. The period of experiments is from May 19th 2010 to November 7th 2012 and the number of experiments is 4,642. The distributions of Naver, Nate are biomodals. The distribution of Daum has long right tails. 3 distributions are different under 1% significance level using chi-square test and two sample Kolmogorov-Smirnov test. From proportions and percentiles, Naver has a distribution with the largest values. Nate is the second place, and Daum has a distribution with the smallest values. We must make portal pages light to increase response speed including other technologies. We expect our results to activate competition among portal sites.

A Scheme for the High Density Sensing Information to Express a Contour Plotting for Multi-scaled Maps (다양한 축척의 지도상에서 고밀도 센싱 정보의 등고선식 표출에 관한 연구)

  • Heo, Gil;Lee, Douglas;Ji, Hae sun;Oh, Jae Young;Jung, Daekyo;Kim, Yoonkee
    • Annual Conference of KIPS
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    • 2009.04a
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    • pp.191-194
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    • 2009
  • 포털에서 제공하는 지도 서비스와 같은 지도의 축척이 변화될 수 있는 환경에서 센싱 정보의 등고선식 표출을 하기 위해서는 기존의 이미지 표출 방식이 갖는 방대한 데이터량이 문제가 된다. 본 연구에서는 센싱 정보의 지역적 집중도와 센싱 데이터의 수에 따른 효율적인 정보처리를 위하여 센싱 데이터들을 그룹핑하여 등고선 형태의 이미지를 생성하였고, 이를 서버에서 제공하는 형태를 통한 웹 포털 지도 서비스와 연계 방법을 제시하였다.

Analysis and Evaluation of Term Suggestion Services of Korean Search Portals: The Case of Naver and Google Korea (검색 포털들의 검색어 추천 서비스 분석 평가: 네이버와 구글의 연관 검색어 서비스를 중심으로)

  • Park, Soyeon
    • Journal of the Korean Society for information Management
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    • v.30 no.2
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    • pp.297-315
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    • 2013
  • This study aims to analyze and evaluate term suggestion services of major search portals, Naver and Google Korea. In particular, this study evaluated relevance and currency of related search terms provided, and analyzed characteristics such as number and distribution of terms, and queries that did not produce terms. This study also analyzed types of terms in terms of the relationship between queries and terms, and investigated types and characteristics of harmful terms and terms with grammatical errors. Finally, Korean queries and English queries, and popular queries and academic queries were compared in terms of the amount and relevance of search terms provided. The results of this study show that the relevance and currency of Naver's related search terms are somewhat higher than those of Google. Both Naver and Google tend to add terms to or delete terms from original queries, and provide identical search terms or synonym terms rather than providing entirely new search terms. The results of this study can be implemented to the portal's effective development of term suggestion services.

Analysis and Evaluation of Video Search Services of Korean Search Portals: Naver versus Google Korea (검색 포털들의 동영상 검색 서비스 분석 평가: 네이버와 구글을 중심으로)

  • Park, Soyeon
    • Journal of the Korean Society for information Management
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    • v.31 no.3
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    • pp.181-200
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    • 2014
  • This study aims to analyze and evaluate video search services of major search portals, Naver and Google Korea. In particular, this study analyzed characteristics such as collection distribution, yearly distribution, the ratio of redundant search results, the ratio of advertising, and the quality of videos. This study also evaluated relevance, credibility, and currency of video search results, and investigated the factors that influence relevance and credibility. Finally, types and characteristics of error results were analyzed. The results of this study show that the relevance of Google's video search results is higher than those of Naver, whereas currency of Naver's search results is somewhat higher than those of Google. Google has more high resolution videos than Naver, and Naver has more advertising than Google. Both Google and Naver return many redundant videos in the search results. The results of this study can be implemented to the portal's effective development of video search services.

A Study on the Service Satisfaction of University Library Portal for Chinese Students in Korea (중국 유학생의 대학도서관 포털 서비스 만족도에 관한 연구)

  • Lee, Soo-Sang;Wei, Cheng-Guang
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.4
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    • pp.113-134
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    • 2007
  • This study deals with the role and responsibility of university library in multicultural society. For this purpose, centered the Chinese students in Pusan University, with internet questionnaire surveys on customer satisfaction to the current library portal service and set up a effective digital library evaluation model. In the meanwhile we borrowed evaluation methods and items from LibQUAL+ in part, a world wide famous model, and use Tsinghua University Library's evaluation statistic norms. To summarize the results of this survey, Chinese student's service satisfaction about Pusan University library is still fairly low. Undergraduate and graduate students(including doctor courses) group follows, undergraduates student's satisfaction level is lower than graduate. By analyzing simple satisfaction we can know that library portal service maintained low importance or influence to the user, to internet space user's satisfaction is a relatively high level. And compared with other dimension, statistic data show out that internet space user's satisfaction still maintained a relative high level.

The Effect of Portal Search Intensity on Stock Price Crash (포털 검색 강도가 주가 급락에 미치는 영향에 관한 연구)

  • Kim, Min-Su;Kwon, Hyuk-Jun
    • The Journal of Society for e-Business Studies
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    • v.22 no.2
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    • pp.153-168
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    • 2017
  • Recent studies focus on the role of investor attention and transparency in stock-related information in explaining stock return and trading volume. Moreover, recent literatures predict that firm opacity will increase the likelihood of future stock price crashes. In this paper, we investigate, using Naver Trend, the relation between portal search intensity and stock price crash. Using various alternative measures of stock price crash risk and search intensity, we demonstrate that stocks with larger volume of portal search are less likely to experience stock price crashes. These results are consistent with our hypothesis that accumulated firm opacity cause future stock price crash. Finally, our results still hold even after we control for the potential effect of endogeneity in the regression specifications.

A Study on Educational Data Mining for Public Data Portal through Topic Modeling Method with Latent Dirichlet Allocation (LDA기반 토픽모델링을 활용한 공공데이터 기반의 교육용 데이터마이닝 연구)

  • Seungki Shin
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.439-448
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    • 2022
  • This study aims to search for education-related datasets provided by public data portals and examine what data types are constructed through classification using topic modeling methods. Regarding the data of the public data portal, 3,072 cases of file data in the education field were collected based on the classification system. Text mining analysis was performed using the LDA-based topic modeling method with stopword processing and data pre-processing for each dataset. Program information and student-supporting notifications were usually provided in the pre-classified dataset for education from the data portal. On the other hand, the characteristics of educational programs and supporting information for the disabled, parents, the elderly, and children through the perspective of lifelong education were generally indicated in the dataset collected by searching for education. The results of data analysis through this study show that providing sufficient educational information through the public data portal would be better to help the students' data science-based decision-making and problem-solving skills.