A study of mining web intelligent information

Finding only relevant information on the Web is one of the hardest challenges faced by researchers. Two reasons are the huge size of the Web and the diversity of available heterogeneous information. Current search engines suffer from low precision rates because pages are not semantically defined and users are allowed only to perform statistically lexicon-based searches, which cannot access the context that makes information relevant and meaningful. Web search engines or crawlers use keywords for retrieving the information from Web. Information on the Web is stored in relational databases. This paper presents an overview of research area analysis in web mining. We have categorized web data mining into threes areas; web content mining, web structure mining and web usage mining. We have highlighted and discussed various research involved in web intelligent information mining. This focuses intelligent information retrieval from the web.