【Key words】 Internet Information Classification; Internet Information Organization; Search Engine;
基于10个网页-相关网页
In this thesis, we present a personalized Internet information classification system with the capability of automatic ontology construction.
本文提出了一个可以自动建立本体论的方法,利用自动构建的本体论知识,将文件合理地自动分类。
Investigation shows that the classification of published information in Internet exists great liberalization and substandard.
调查发现,网络出版信息的分类存在着很大的随意性和不规范性。
The rapid growth of text information of the Internet brings forward new standards and challenges for text classification with respect to accuracy and speed.
因特网上的文本信息的爆炸式增长给文本分类的精度与速度提出了新的标准与挑战。
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