A Survey on Semantic Web Search Engine G.Sudeepthi 1 , G. Anuradha 2 ,Prof. M.Surendra Prasad Babu 3 1 Department of CSE, CMRIT Hyderabad, A.P, India 2 Department of CSE, GMRIT Rajam, Srikakulam dist, A.P. India 3 Department of CS & SE, Andhra University, AU college of Engineering Visakhapatnam, A.P, India Abstract The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now a days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. The Semantic Web is an extension of the current web in which information is given well-defined meaning. Semantic web technologies are playing a crucial role in enhancing traditional web search, as it is working to create machine readable data. but it will not replace traditional search engine. In this paper we made a brief survey on various promising features of some of the best semantic search engines developed so far and we have discussed the various approaches to semantic search. We have summarized the techniques, advantages of some important semantic web search engines that are developed so far.The most prominent part is that how the semantic search engines differ from the traditional searches and their results are shown by giving a sample query as input. Keywords: RDF,OIL, DAML+OIL, OWL, QDEX. 1. Introduction The rapid growth of Internet has given user an easy way of accessing information and services. Web is a huge semi structured database that provides with vast amount of information. With ever-increasing information overload, we are facing new challenges for not only locating relevant information precisely but also accessing variety of information from different resources automatically. Efficient searching is required to get high quality results which are based on pertinent matching between well-defined resources and user queries. When users use search engines to search for specific information, the quality of the search results will be improved significantly if they make use of advanced Techniques. Most of the traditional search engines get the answers syntactically correct but larger in amount. The Semantic allows the information to be precisely described in terms of well defined vocabularies. Semantic Web is gaining momentum. A semantic search engine gives selected results which the user is searching for. The main objective of Semantic Web is to make Web content understandable not only by humans, but also machine understandable. We need to ensure that semantics are not lost during the whole life cycle of information retrival.Various semantic search engines developed so far differ from each other through the results obtained & technologies involved which can be discussed in detailed in later sections. 2. Traditional search engine & its limitations Present World Wide Web is the global database that lacks the existence of a semantic structure and hence it becomes difficult for the machine to understand the information provided by the user in the form of search strings. As for results, the search engines return the ambiguous or partially ambiguous result data set. Semantic web is being developed to overcome the following main limitations of the current Web. 2.1 Limitations 1. The web content lacks a proper structure regarding the representation of information. 2. Ambiguity of information resulting poor interconnection of information. 3. Unable to deal with enormous number of users and content ensuring trust at all levels. IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No 1, March 2012 ISSN (Online): 1694-0814 www.IJCSI.org 241 Copyright (c) 2012 International Journal of Computer Science Issues. All Rights Reserved.