DocumentCode :
3155317
Title :
Dynamic Web content filtering based on user´s knowledge
Author :
Churcharoenkrung, N. ; Kim, Y.S. ; Kang, B.H.
Author_Institution :
Sch. of Comput., Tasmania Univ., Hobart, Tas., Australia
Volume :
1
fYear :
2005
fDate :
4-6 April 2005
Firstpage :
184
Abstract :
This paper focuses on the development of a maintainable information filtering system. The simple and efficient solution to this problem is to block the Web sites by URL, including IP address. However, it is not efficient for unknown Web sites and it is difficult to obtain complete block list. Content based filtering is suggested to overcome this problem as an additional strategy of URL filtering. The manual rule based method is widely applied in current content filtering systems, but they overlook the knowledge acquisition bottleneck problems. To solve this problem, we employed the multiple classification ripple-down rules (MCRDR) knowledge acquisition method, which allows the domain expert to maintain the knowledge base without the help of knowledge engineers. Throughout this study, we prove the MCRDR based information filtering system can easily prevent unknown Web information from being delivered and easily maintain the knowledge base for the filtering system.
Keywords :
Internet; Web sites; classification; content-based retrieval; information filtering; information filters; knowledge acquisition; knowledge based systems; MCRDR based information filtering system; URL filtering; Web sites; dynamic Web content filtering; knowledge base; multiple classification ripple-down rules knowledge acquisition; user knowledge; Australia; Collaboration; Information filtering; Information filters; Internet; Knowledge acquisition; Knowledge engineering; Learning systems; Maintenance engineering; Uniform resource locators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
Type :
conf
DOI :
10.1109/ITCC.2005.137
Filename :
1428459
Link To Document :
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