Deep Webpage Classification and Extraction (DWCE)
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 4
Abstract
As the Deep web (or Hidden web) information is hidden behind the search query forms, this information can only be accessed by interacting with these forms. Therefore, development of automated system that interacts with the search forms and extracts the hidden web pages would be of great value to human users. To accomplish this task stated above, this paper proposes a novel method “Deep Webpage Classification and Extraction” which classifies the websites into appropriate domain, extracts their query interfaces and retrieves all result pages of deep websites using query building system.
Authors and Affiliations
Meenakshi Sharma , Supriya
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