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

Abstract

This paper has designed and implement of 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 precision with experimental verification. In the end, system retrieval effect is showed and the related work is described.

A Look into Content-Based Image Search Engine System

“…Image search technology is cross-disciplinary, involving technologies of database, information retrieval, image processing, computer vision, texture recognition, multimedia database and network [1]. After decades of development, two major image retrieval methods came into existence ：Text-based Image Retrieval (TBIR) and Content-based Image Retrieval (CBIR).…”