Search inside semantic web will give users relevant results to the user’s query. Today’s Search Engine are based on keyword and retrieves information from unstructured source. Search application of semantic web will be designed to improve traditional Information Retrieval (IR) in order to overcome the shortcomings of the keyword-based technique in respond to information selection requests model that we have today.

Semantic Web is an extension of actual World Wide Web that aims to web content machine understandable, allowing agents and applications to access a variety of heterogeneous resources. The concept selection mechanism will be a novel, scalable disambiguation algorithm using domain specific ontology. This algorithm will prune irrelevant concepts while allowing relevant concepts to become associated with documents and participate in generating users intended result.

Today’s search such as Google, Yahoo and Live outputs well unless there is no conflict information in the documents in WWW and queries. For example a searcher inputs the query ‘bank interest charge‘ to the search engines hoping to get results that will give information about the bank interest charges or some results related to financial banking. Many search engines outputs the result on the basis of partial match or full match, thus also output results like ‘Police in riot gear charged the lines of demonstrators‘ or ‘many people have interest to roam around bank of river‘, which are completely irrelevant to the user’s query. Another aspect is that user may be not complete in describing his information needs, for example users may input their query ‘flower plants‘ but in traditional search the  result would not be so intelligent that it will out put all information about flower. For instance the document that contains ‘rose‘ or ‘lily‘, which are indeed flowers, may not be presented to the user.

So what after next 10 years when semantic web becomes possible? We will be getting broad information excluding irrelevant results when searching inside semantic web. Every prune information will be excluded from the results providing most useful and close information that relates to the users query.

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