A Distinction Technology for Harmful Web Documents by Rates 


Vol. 13,  No. 7, pp. 859-864, Dec.  2006
10.3745/KIPSTC.2006.13.7.859


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  Abstract

The openness of the Web allows any user to access almost any type of information easily at any time and anywhere. However, with function of easy access for useful information, internet has dysfunctions of providing users with harmful contents indiscriminately. Some information, such as adult content, is not appropriate for all users, notably children. Additionally for adults, some contents included in abnormal porn sites can do ordinary people's mental health harm. In the meantime, since internet is a worldwide open network, it has a limit to regulate users providing harmful contents through each countrie’s national laws or systems. Additionally it is not a desirable way of developing a certain system-specific classification technology for harmful contents, because internet users can contact with them in diverse way, for example, porn sites, harmful spams, or peer-to-peer networks, etc. Therefore, it is being emphasized to research and develop context-based core technologies for classifying harmful contents. In this paper, we propose an efficient text filter for blocking harmful texts of web documents using context-based technologies.

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  Cite this article

[IEEE Style]

Y. S. Kim, T. Y. Nam, D. H. Won, "A Distinction Technology for Harmful Web Documents by Rates," The KIPS Transactions:PartC, vol. 13, no. 7, pp. 859-864, 2006. DOI: 10.3745/KIPSTC.2006.13.7.859.

[ACM Style]

Young Soo Kim, Taek Yong Nam, and Dong Ho Won. 2006. A Distinction Technology for Harmful Web Documents by Rates. The KIPS Transactions:PartC, 13, 7, (2006), 859-864. DOI: 10.3745/KIPSTC.2006.13.7.859.