• 제목/요약/키워드: Web information

검색결과 11,586건 처리시간 0.036초

인터넷을 이용한 인간공학정보의 검색 및 응용 (Ergonomic infomation retrieval through internet and its applications)

  • 이남식
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1995년도 추계학술대회논문집
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    • pp.185-191
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    • 1995
  • This paper reviews how to access the ergonomic information through internet-the world-wide computer networks. Recently, with the growth of hypertext type Internet-the WWW (World-Wide Web), it becomes much easier to access to the Internet and we can retrieve information very effeciently. In order to search the ergonomic information, this paper also reviews the famous Web search engines like Lycos, Web Crawler, and meta-indices like YAHOO. Also, useful Web-sites of ergonomics/human factors such as ErgoWeb are summarised.

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웹 정보원의 동시인용분석에 관한 실험적 연구 (An Experimental Study of Cocitation Analysis on Web Information)

  • 정동열;최윤미
    • 정보관리학회지
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    • 제16권2호
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    • pp.7-26
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    • 1999
  • 본 연구는 계량정보학적 분석방법을 웹 정보원에 적용하여 커뮤니케이션 분야의 웹 정보원에 대한 동시인용분석을 실험적으로 실시하고 있다. 특정 학문분야의 지적구조를 규명하기 위하여 링크 건수를 기준으로 선정된 웹 정보원을 대상으로 동시인용빈도, 상관계수행렬, 다차원축적기법과 군집분석 등 동시인용분석 기법을 적용하고 있다. 분석대상이 인쇄문헌에 적용되어 온 분석기법이 웹 정보원에 적용될 수 있음을 규명하고 있다. 아울러 동시인용분석에서 인쇄문헌과 웹 정보원이 갖는 특성과 연구방법상의 차별성 등을 분석한다.

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다차원 데이터를 위한 시멘틱 웹 연구 (A Study on Semantic Web for Multi-dimensional Data)

  • 김정준
    • 한국인터넷방송통신학회논문지
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    • 제17권3호
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    • pp.121-127
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    • 2017
  • 최근 공간 데이터와 같은 2차원 데이터를 위한 Semantic Web에 대한 연구가 활발하게 진행되고 있다. 2차원 Semantic Web은 기존의 Geospatial Web과 Semantic Web이 접목되어 다양한 지리 공간 정보와 일반 웹 상의 방대한 비공간 정보를 효율적으로 연계 및 통합하여 제공할 수 있는 지능적인 지리정보 웹 서비스 기술이다. 하지만 다차원 데이터 처리를 위한 연구는 전체적으로 부족한 편이며, 관련 표준 역시 제정되어 있지 않다. 따라서 본 논문에서는 그동안 진행되었던 Ontology 처리 기술과 관련된 다양한 기반 이론 및 기술들을 적용하여 다차원 데이터 처리가 가능한 온톨로지, 질의, 추론에 대한 내용을 제안하였다. 또한 각각 제안한 내용을 다차원 질의가 필요한 가상 시나리오에 적용해보았다.

웹 컨텐츠 선호도 측정을 위한 대용량 웹로그 분석기 구현 (Implementation of big web logs analyzer in estimating preferences for web contents)

  • 최은정;김명주
    • 디지털산업정보학회논문지
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    • 제8권4호
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    • pp.83-90
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    • 2012
  • With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

Design and Implementation of Customer Personalized System Using Web Log and Purchase Database

  • Lee Jae-Hoon;Chung Hyun-Sook;Lee Sung-Joo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권1호
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    • pp.21-26
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    • 2006
  • In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the user's access pattern to web site and their following purchasable items and improves their web page on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning, it employs Apriori algorithm, which is a method that searches the association rule. It reasons the web pages by considering the user's access pattern and time by using the web log and reasons the user's purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of user's web pages and displays the inferred goods on user's web pages.

웹 어플리케이션 특성 분석을 통한 공격 분류 (Attack Categorization based on Web Application Analysis)

  • 서정석;김한성;조상현;차성덕
    • 한국정보과학회논문지:정보통신
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    • 제30권1호
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    • pp.97-116
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    • 2003
  • 최근 웹 서비스의 증가와 한께 엘 서비스에 대한 공격과 피 피해 규모는 증가하고 있다. 그러나 웹 서비스에 대한 공격은 다른 인터넷 공격들과 성격이 다르고 그에 대한 연구 또한 부족한 현실이다. 더욱이 기존의 침입 탐지 시스템들도 낄 서비스를 보호하는데 적합하지 않다. 이 연구에서는 먼저 웹 공격들을 공격 발생 원인과 공격 탐지 관점에서 분류하고, 마지막으로 위험성 분석을 통하여 웹 공격들을 분류하였다. 이를 통해 엘 서비스를 보호하기 적합한 웹 서비스 특화된 침입 탐지 시스템을 설계, 개발하는데 도움을 주고자 한다.

Customer Personalized System of eCRM Using Web Log Mining and Rough Set

  • Lee, Jae-Hoon;Chung, Il-Yong;Lee, Sung-Joo
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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    • pp.29-32
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    • 2006
  • In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the users' access pattern to web site and their following purchasable items and improves their web pare on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning it employs Rough Set, which is a method that searches the association rule and offers most suitable cases by reduces cases. It reasons the web pages by considering the users' access pattern and time by using the web log and reasons the users' purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of users' web pages and displays the inferred goods on users' web pages.

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산업정보시스템의 웹쉘공격에 대한 방어 대응책 연구 (Study on defense countermeasures against Webshell attacks of the Industrial Information System)

  • 홍성혁
    • 산업융합연구
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    • 제16권4호
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    • pp.47-52
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    • 2018
  • 웹쉘은 해커가 원격으로 웹 서버에 명령을 내릴 수 있도록 작성한 웹 스크립트 파일이다. 해커는 웹쉘을 이용하여 보안 시스템을 우회, 시스템에 접근하여 파일 수정, 복사, 삭제 등의 시스템 제어를 할 수 있고 웹 소스코드에 악성코드를 설치해 사용자들의 PC를 공격하거나 연결된 데이터베이스의 정보를 유출하는 등 큰 피해를 입힐 수 있다. 웹쉘 공격의 유형은 여러 가지가 있지만 그중 대표적으로 사용되는 PHP, JSP 기반 웹 서버에 대한 공격에 대해 연구하고 이런 유형의 웹쉘 공격에 대한 대응 방법인 웹페이지 관리차원에서의 방법과 개발과정에서의 방법, 그 외 몇 가지 방법을 제안하였다. 이런 대응 방법들을 활용한다면 웹쉘 공격에 의한 피해를 효과적으로 차단할 수 있다.

웹 뉴스의 양과 주가의 관계에 관한 연구 (A Study on the Relation of Web News and Stock Price)

  • 김상수;남달우;조현;김성희
    • 한국IT서비스학회지
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    • 제11권3호
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    • pp.191-203
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    • 2012
  • In the stock market, the investors rely on stock information to trade. Good information may stimulate buying, raising the stock prices and the bad information may result in selling, decreasing the stock prices. In terms of the relationship between information and stock prices, stock prices can be viewed as reaction of investors to all the information flowing into the market. The significant increase of web stock news volume is often associated with the significant changes of stock prices. When the web stock news volume for a firm increases significantly, the stock price movement is often oscillatory. This paper attempts to investigate the relationship between volumes of information from Korean web IT and stock prices in Korean stock market. This research shows that when the web stock news volume increases significantly, volatility, trading volumes and rate of returns are increase too. The results of the study provide us with the new clues to the microstructure of the stock market from the perspective of the web news.

An Ontology-based Knowledge Management System - Integrated System of Web Information Extraction and Structuring Knowledge -

  • Mima, Hideki;Matsushima, Katsumori
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2005년도 e-Biz World Conference 2005
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    • pp.55-61
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    • 2005
  • We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.

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