When you send a request to our smart search engine, it does more than just a keyword based lookup and return. Language processing helps the engine to uncover what you really meant to find. The amount of computerized data continues to grow exponentially. There are huge collections of data available in the Internet. As more and more data on more and more topics is accumulated into the repositories, how to retrieve all the information on a topic readily, efficiently, and economically is our main concept. Adding intelligence that will assist in the search will be of enormous use. Semantic search uses semantics or the science of meaning in language to produce highly relevant search results. Our goal is to deliver the information queried by a user rather than have a user sort through a list of loosely related keyword results. In this project we have implemented a semantic search engine with the help of Natural Language Processing (NLP) and Information Retrieval (IR) technology which uses Web Ontology Language, Dictionary hookup and Ranking algorithm for search results that will eventually help the Web users to retrieve the relevant results they need.