International Journal of Computer Applications
With the emergence of the web, lots of research efforts are made in the area of web mining. This paper proposes an automatic approach for automatic topic identification from the web pages. The contribution of this paper is in the approach of automatic topic identification of web pages that can provide better results. The topic of the web documents is identified through ontological approach. Keywords are extracted from the basic HTML tags and co-occurrence of words in the text instead of calculating the frequency of each term exits in a web page.