e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : A Framework For Extracting Information From Web Using VTD-XML‘s XPath
Authors : C. Subhashini, Dr.Arti Arya
Keywords : VTD-XML, Web Content Mining, Web Data extraction, Web Data Mining, XML, Xpath.
Issue Date : March 2012.
Abstract :
The exponential growth of WWW (World Wide Web) is the cause for vast pool of information as well as several challenges posed by it, such as extracting potentially useful and unknown information from WWW. Many websites are built with HTML, because of its unstructured layout, it is difficult to obtain effective and precise data from web using HTML. The advent of XML (Extensible Markup Language) proposes a better solution to extract useful knowledge from WWW. Web Data Extraction based on XML Technology solves this problem because XML is a general purpose specification for exchanging data over the Web. In this paper, a framework is suggested to extract the data from the web. Here the semi-structured data in the web page is transformed into well-structured data using standard XML technologies and the new parsing technique called extended VTD-XML (Virtual Token Descriptor for XML) along with Xpath implementation has been used to extract data from the well-structured XML document.
Page(s) : 463-468
ISSN : 0975–3397
Source : Vol. 4, Issue.03

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