A Semantic Query Transformation Approach Based on Ontology for Search Engine

Abstract-- These days we are using some popular web search engines for information retrieval in all areas, such engine are as Google, Yahoo!, and Live Search, etc. to obtain initial helpful information. Which information we retrieved via search engine may not be relevant to the search target in the search engine user's mind. When user not found relevant information he has to shortlist the results. These search engines use traditional search service based on "static keywords", which require the users to type in the exact keywords. This approach clearly puts the users in a critical situation of guessing the exact keyword. The users may want to define their search by using attributes of the search target. But the relevancy of results in most cases may not be satisfactory and the users may not be patient enough to browse through complete list of pages to get a relevant result. The reason behind this is the search engines performs search based on the syntax not on semantics. But they seemed to be less efficient to understand the relationship between the keywords which had an adverse effect on the results it produced. Semantic search engines – only solution to this; which returns concepts not documents according to user query matching. In This paper we proposed a semantic query interface which creates a semantic query according the user input query and study of current semantic search engine techniques for semantic search