Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web pages in this paper). Extracting structured data from deep Web pages is a challenging problem due to the underlying intricate structures of such pages. Until now, a large number of techniques have been proposed to addre...

The Internet presents a huge amount of useful information which is usually formatted for its users, which makes it difficult to extract relevant data from various sources. Deep Web contents are extracted by submitting the queries to semi structured Web databases and the returned data records are enwrapped in dynamically generated Web pages. Extracting structured data from deep Web pages is a ch...

Information extraction (IE) is an important problem for information integration with broad applications. It is an attractive application for machine learning. The core of this problem is to learn extraction rules from given input. This paper extends a pattern discovery approach called IEPAD to the rapid generation of information extractors that can extract structured data from semi-structuredWe...

Web data extraction has been an important part for many Web data analysis applications. In this paper, we formulate the data extraction problem as the decoding process of page generation based on structured data and tree templates[1]. We propose a unsupervised, page-level data extraction approach to deduce the schema and templates for each individual Deep Website, contains either singleton or m...

In this paper, we present a taxonomy-driven approach to the extraction of data records from web pages containing multiple similar items. In our approach, we first automatically extract a taxonomy from the web for the target domain, then extract data records from web pages in the target domain, and finally use the automatically-extracted taxonomy to automatically annotate feature values in the t...

Nowadays, with the rapid growth of the web, a large volume of data and information are published in numerous web pages. As web sites are getting more complicated, the construction of web information extraction systems becomes more difficult and time-consuming. In this paper proposes a new method to perform the task automatically which is more effective than machine learning and semi automated s...

ISSN 2250 – 107X | © 2011 Bonfring Abstract--The World Wide Web has more online web database which can be searched through their web query interface. Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages. Extracting structured data from deep Web pages is a challenging task due to the underlying complic...

Our purpose is to perform data record extraction from online event calendars exploiting sublanguage and domain characteristics. We therefore use so-called domain-dependent data (D) completely based on language-specific key expressions and HTML patterns to recognize every single event given on the investigated web page. One of the most remarkable advantages of our method is that it does not requ...