Research on Deep Web sources classification technology

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 iterative self-organizing data analysis techniques algorithm (ISODATA) in order to facilitate users to browse this valuable information.