The Research and Implementation of the Deep Search Engine of Popular Science

摘要

This paper has designed and implemented a deep search engine oriented to the domain of popular science using subject search technique and the deep web integration technique. It has introduced the system architecture, the subject information gathering strategy as well as the key technologies it used, and our web page classifier has high accuracy with experimental verification. In the end, system retrieval effect is shown and the related work is described.