HWPDE: Novel Approach for Data Extraction from Structured Web Pages

Unsupervised Structured Data Extraction from Template-generated Web Pages

This paper studies structured data extraction from template-generated Web pages. Such pages contain most of structured data on the Web. Extracted structured data can be later integrated and reused in very big range of applications, such as price comparison portals, business intelligence tools, various mashups and etc. It encourages industry and academics to seek automatic solutions. To tackle t...

Extracting Structured Data from Web Pages

Extracting Structured Data from Web Pages (Poster)

Many web sites contain a large collection of “structured” web pages. These pages encode data from an underlying structured source, and are typically generated dynamically. An example of such a collection is the set of book pages in Amazon. There are two important characteristics of such a collection: first, all the pages in the collection contain structured data conforming to a common schema; s...

Extraction of Data from Web Pages: A Vision Based Approach

With the explosive growth of information sources available on the World Wide Web, it has become increasingly difficult to identify the relevant pieces of information, since web pages are often cluttered with irrelevant content like advertisements, navigation-panels, copyright notices etc., surrounding the main content of the web page. Hence, tools for the mining of data regions, data records an...

A Novel Approach for Automatic Data Extraction from Heterogeneous Web Pages

World Wide Web is a vast and rapidly growing source of information. Web Pages contain a combination of unique data and template material, which is present across multiple pages to achieve high productivity of publishing. The template detection becomes a more attractive technique in the web pages, since the unknown template degrade the performance of web applications due to the irrelevant terms ...