The Data Records Extraction from Web Pages

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) ABSTRACT No other medium has taken a more meaningful place in our life in such a short time than the world-wide largest data network, the World Wide Web. However, when searching for information in the data network, the user is constantly exposed to an ever-growing flood of information. This is both a blessing and a curse at the same time. The explosive growth and popularity of the world-wide web has resulted in a huge number of information sources on the Internet. As web sites are getting more complicated, the construction of web information extraction systems becomes more difficult and timeconsuming. So the scalable automatic Web Information Extraction (WIE) is also becoming high demand. There are four levels of information extraction from the World Wide Web such as free-text level, record level, page level and site level. In this paper, the target extraction task is record level extraction.

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