Structure based Data Extraction from Hidden Web Sources: A Review

Structure based Data Extraction from Hidden Web Sources: A Review

In order to extract data from the web pages of Hidden web sources, many semi-automatic and automatic techniques are proposed based on structure and tags of HTML documents. These

A Novel Technique for Data Extraction from Hidden Web Databases

On the Automatic Extraction of Data from the Hidden Web

An increasing amount of Web data is accessible only by filling out HTML forms to query an underlying data source. While this is most welcome from a user perspective (queries are easy and precise) and from a data management perspective (static pages need not be maintained; databases can be accessed directly), automated agents have greater difficulty accessing data behind forms. In this paper we ...

Automatic Data Extraction from Lists and Tables in Web Sources

Tables in Web Sources

Unsupervised object extraction from data-intensive web sources

A long-term challenge for the Web extraction community is to devise technologies for automatically converting Web content from raw HTML (which has no explicit semantics and usually contains large quantities of spurious content), into some sort of structured machine-processable format (such as XML conforming to some given schema). We address this question in the context of interactive dataintens...