With the development of the society, the capacity of web information increases exponentially, so that the special users can not find the wanted simplify and accurate information because the traditional search methods will produce much redundancy information. In this case the vertical search engine was given birth to, it is also considered the direction of the new generation search engine.This paper proposed a kind of multi-dimensional to take data storage way of Chinese personal name search engine , Through carried on information extraction to the occupation, the locus, the birth years and then we used the subject text classification algorithm based on compensatory information extraction and the sentence-words cluster algorithm to gathers the similar documents. Finally, we realized Chinese personal name search engine prototype system that has taken retrieve the personal name as to make the subject. Through carried on the experimental analysis to the prototype system, we might the different character according to the occupation, the locus, the birth years by the level form demonstration. Thus, the user was able fast to inquire goal character from the different angle. |