Role of Search Engines in Intelligent Information Retrieval on Web.

With the growth of the web, information explosion has taken place in the form of "Big Bang”. A well-support semantic based search engine needs to display the few specific pages from the billons available in which users have interest. Therefore, search engines have become one of the most important and helpful tools for obtaining information from the Internet. But most of the search engines are suffering from drawbacks of human and time consumption. Instead of caring about the exact meaning of semantics of information, the machines on the current web are caring about the location and display of information only. Because of this shortcoming of the current web, the search results produced by even most popular search engines are not satisfactory. Search engine activities in current web are not particularly well supported by software tools except for keyword-based search and suffer from lack of semantics and as well as semantic based search engine also lack of knowledge of semantics like RDF, Ontology, Query language like SQL. This paper presents an analysis of the role of search engines in intelligent web and to present a theoretical model to explore some method and possibilities for intelligent and meaningful retrieval of information on web for the ordinary users who are not the aware of semantic knowledge.