Title :
Study of Deep Web Sources Classification Technology
Author_Institution :
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
Abstract :
Searching on the Internet today can be compared to dragging a net across the surface of the ocean. While a great deal may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. Deep Web sources store their content in searchable databases that only produce result dynamically in response to a direct request. In this paper, we proposed an automatic classification algorithm of Deep Web sources based on hierarchical clustering method in order to facilitate users to browse this valuable information.
Keywords :
Internet; pattern classification; pattern clustering; Internet; automatic classification algorithm; deep Web sources classification technology; hierarchical clustering method; searchable databases; Classification algorithms; Clustering algorithms; Data mining; Databases; Information retrieval; Internet; Marine technology; Radio control; Search engines; Web pages;
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
DOI :
10.1109/MMIT.2010.25
