Abstract
With the explosion of the Web, focused Web crawlers are gaining attention. Focused Web crawlers aim at finding Web pages related to the pre-defined topic. CINDI Robot is a focused Web crawler devoted to finding computer science and software engineering academic documents. We propose a multi-level inspection scheme to discover relevant Web pages. Through this multi-level inspection scheme, the text feature of the content contributes to the classification; furthermore other Web characteristics, such as URL pattern, anchor text and so on, assist the decision process. The experiment result demonstrates this multi-level inspection method outperforms other traditional methods.
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