Meta Search Engine with Semantic Analysis and Query Processing

摘要

The increasing number of Internet users and digital immigrants has led to increase in enormous types of queries asked by the users. For finding the best results of the queries, abundant search engines and meta-search engines are being used with different and efficient result providing features. The existing meta-search engines uses various search engines for fetching the results but, do not emphasize on the semantic analysis of the query for identifying the best search engine suitable for the query of user. In order to overcome this limitation, a meta-search engine is proposed. The proposed meta search engine can improve quality of results through the use of semantic analysis and query processing. The end results comparison with existing meta search engine proves the proposed approach better than the existing meta search engines.