Semantic and keyword based web techniques in information retrieval

Semantic and keyword web based technique is becoming a generic issue in an application of Information Retrieval (IR). Most of the researchers used different web techniques for finding relevant information and find the keyword based search, which are not able to fetch the relevant search result because they do not know the actual meaning of the term or expression and relationship between them in the web search. In this paper, semantic and keyword based web search method have been applied on the different web search engines. The selected search engines such as semantic search engines (Google, Yahoo, Wikipedia) and keyword search engines (Hakia, Bing, DuckDuckGo). Performance is based on their precision ratio and natural language queries. Various queries was input on different search engine and output of the documents was classified a relevant documents and non-relevant documents. Precision ratios were calculated in the final retrieved documents on each web search engines. Also defined some popular semantic and keyword search engine features.