A performance evaluation of semantic based search engines and keyword based search engines

Semantic based search engine are able to provide more relevant information because they understand the meaning of the term and relationship between the term and web pages but keyword based search engine not able to understand these thing. This paper evaluates the performance of Semantic web based search engine and Keyword based search engine. We selected three Semantic web based search engine (Bing, DuckDuckGo and Lexxe) and two Keyword based search engine (Google and Yahoo) to compare their search performance. We take ten queries from various topics and run on these search engines, and calculate the precision ratio for these queries. We have proposed a framework for Semantic based search engine that resolve the problem of synonyms and polysemy terms and used ontology based crawler in place of web crawler for effective precision.