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

Author

Wu Chensheng ; Liu Yanjun ; Zhang Luji ; Hou Wei

Author_Institution

Beijing Municipal Inst. of Sci. & Technol. Inf., Beijing, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

8

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.

Keywords

Internet; Web sites; information retrieval; scientific information systems; search engines; Web page classifier; deep Web integration technique; deep search engine; popular science; subject information gathering strategy; subject search technique; system architecture; system retrieval effect; Data mining; Databases; Indexes; Information resources; Internet; Robot kinematics; Search engines; Service oriented architecture; User interfaces; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5365630

Filename

5365630