Deep Web Data Extraction by Using Vision Approach for Multi-Region
Author(s):
Shweta Dhall, Parikshit Singla
Keywords:
Document Object Model, Vision Based Page Segmentation, Web Information Extraction, Web Page Segmentation.
Abstract
Web Information Extraction (WIE) is entirely dependent on comprehensive human involvement in the form of hand crafted algorithms used for extraction. Furthermore the experienced user is demanded to explicitly enumerate every single relation that he has attention for extraction. Even though data extraction from web has come to be increasingly automated, discovering all probable hobbies relations for the data extraction from each web retrieval arrangement is tremendously problematic for colossal and vibrant periods as the web. Even though WIE has consented a lot of attention by researchers above the years though, most of the works are established on scrutinizing the HTML Web pages. Web documents can be believed as convoluted objects that frequently encompass several entities every single of that can embody a standalone unit. Though, most data processing requests industrialized for the web, ponder web pages as the smallest undividable units. Preceding works flout the underlying content as segments can be composed of un-important data such as web ads, to resolve these subjects we counseled an n-gram established web page segmentation algorithm. That utilized the density for segmenting the webpage lacking relying on the DOM tree for the segmentation process.
Article Details
Unique Paper ID: 143717

Publication Volume & Issue: Volume 3, Issue 1

Page(s): 104 - 109
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