A Detailed Study on Semantic Search Performance of Keyword and Meta Search Engines

With the development of the Web, an information “Big Bang” has taken place on the Internet. The continued rapid growth in information volume makes it increasingly difficult to find, organize, access and maintain the information required by users. Today, when we use a web search engine, the search engine can’t tell if the web page is actually relevant for our search. This research paper critically analyzes the performance of popular search engines based on distinct technologies as, Semantic Search, Keyword Search & Meta Search. We have used three keyword based search engines (Google, Bing, & Yahoo), Meta Search Engine (Dogpile), and Semantic Search Engine (Hakia). The queries are used on every search engine to judge the performance of the search engine on the basis of the relevancy of the results returned by the search engine. The first twenty documents on each retrieval output were used to judge the performance of search engines on different criteria such as precision ration & normalized recall ratio.