Semantic-based vertical search engines search strategy

This paper analyzed the search strategies of present vertical search engines. And a strategy which achieves search combined with semantic based on the distribution of the theme page on Web and present search strategies is presented. This search strategy uses the theme semantic networks to evaluate the content of the links and to predict the structure. Experiment shows that the search strategy compared to traditional search strategy reflects the content more relative with the intention of professional search engine, and responses fast.