Query Indexing Method To Improve Ontology Using Query Indexing Technique

摘要

Queries play a vital role in a semantic search engine. Developing a search engine involves query optimization. The queries has to be properly aligned, the queries has to be properly distributed among the database. Queries are related together and they are compared with the algorithms. This performance will be better than the query index method. Here we propose a semantic based algorithm and implemented that algorithm. A new semantic search engine is created with an URL. http://researchsrihari.replicoders.com. The results of our semantic search engine is compared to the existing search engines like hakia,swoogle,lexxe and comparison graph is generated. By comparing the result the number of quality pages visited is improved in our research. The proposed semantic search engine is practically implemented and compared with the current semantic search engines like hakia,swoogle.