A Review of Various Techniques of Web Content Mining For HTML and XML Contents
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 6
Abstract
World Wide Web is the largest source of information. Most of the data on the web is dynamic and is in unstructured form. It is becoming difficult to get the relevant data from the web. Data Mining is the field of computer science which is used to extract knowledge from very large amount of data. Web mining is the application of data mining, which implements various techniques of data mining to get the efficient knowledge from the web data. This paper presents an overview of various techniques that has been used for web content mining including images, audio, video and semi-structured contents like HTML and XML. Since HTML has many limitations like limited tags, not case sensitive and designed to display data only, Web developers has started to develop Web pages on emerging Web Technologies like XML, Flash etc. XML was designed to describe data and to focus on what the data is. XML also plays the role of a meta- language and allows document authors to create customized markup language for limitless different types of documents, making it a standard data format for online data exchange.
Authors and Affiliations
Rupinder Kaur, Kamaljit Kaur
Keywords
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