A study on template extraction

The World Wide Web is a vast and rapidly growing source of information. Most of the information consumers are based on the World Wide Web for their exploration and the information is in the form of unstructured and so it´s tough to handle. Nevertheless, there are many webpages which are having the structured data. Structured data is the format or pattern which is called as template. Some templates are considered destructive, since they worsen the performance and accuracy of the applications due to the irrelevant terms. Thus Template detection techniques are used to raise the working of search engines, clustering and classification of web documents. In this paper we survey some of the algorithms for extracting templates from different web pages in an efficient manner. First, the documents are clustered based on their similarity and thus templates from each cluster are extracted concurrently. Our intent is to present different techniques for the fast and accurate performances in extracting templates.