Abstract: Searching for information on the Internet is much easier with the help of Search Engine, but relevant search is another complex task. Traditional search compare the user query keywords with web pages. Without meaning of query search will continue and produces non-relevant results. User will search again with different keywords for relevant results. Semantic Search improves all the shortcoming of traditional search and provides a meaning to query and can handle a large query from users. This paper presents architecture of Semantic Search, how it impacts on web page searching and ranking as compare to traditional search.

Keywords: SERP, Knowledgebase, Term, WWW, URL.