A Method of Web Information Automatic Extraction Based on XML

Abstract:

With the increasingly high-speed of the internet as well as the increase in the amount of data it contains, users are finding it more and more difficult to gain useful information from the web. How to extract accurate information from the Web efficiently has become an urgent problem. Web information extraction technology has emerged to solve this kind of problem. The method of Web information auto-extraction based on XML is designed through standardizing the HTML document using data translation algorism, forming an extracting rule base by learning the XPath expression of samples, and using extraction rule base to realize auto-extraction of pages of same kind. The results show that this approach should lead to a higher recall ratio and precision ratio, and the result should have a self-description, making it convenient for founding data extraction system of each domain.

• Periodical: Applied Mechanics and Materials (Volumes 20-23)
• Pages: 178-183
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.20-23.178
• Online since: January 2010
• Authors: Jun Hua Gu, Jie Song, Na Zhang, Yan Liu Liu
• Keywords: Information Extraction, XML, XPath Learning, XSL

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