• Harish Kumar
• Dr. Praveen Kumar
• Dr. Kamal Upreti

In recent years, many researchers have tried to enhance the performance of template detection and extraction methodology due to increase the performance of web applications. In web applications templates are created for many web sites to increase the productivity and search time of web pages. The templates have consistent structure so that users can easily access the information on the web sites. Templates will be utilized for characterizing auxiliary data of various zones, for example, web applications zones, biometric regions, computerized system, Programming Languages. Template extraction from heterogeneous web pages can be done by constructing Document Object Model (DOM) tree of HTML document and finding essential paths of document. But due to large variety of web documents, there is a need to manage unknown number of templates. In this paper, authors present a novel approach for detection and extracting templates from a large number of web applications by using classification techniques.

Template Extraction, DOM Tree, Classification, Web Application

"Design and Development of Efficient Methodology for Template Detection and Extraction from Heterogeneous Web Pages", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 1, page no.622-628, January-2020, Available :http://www.jetir.org/papers/JETIR2001081.pdf

"Design and Development of Efficient Methodology for Template Detection and Extraction from Heterogeneous Web Pages", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 1, page no. pp622-628, January-2020, Available at : http://www.jetir.org/papers/JETIR2001081.pdf