Ontology based search engine is a tool that helps you in retrieving required information from the web by only considering the logical denotation of the submitted query. The semantic based search engines are the annotated form of the ontology based search engines. The paper identifies various methods involved in determination and identification of various ontology based search engines. The search engines types discussed in the paper is broadly classified into keyword based search engine and semantic based search engine. Majorly the efficiency of both the kind of search engines is taken into consideration here. In paper [1] the fuzzy ontology modelling is the main feature. This method is done to find the exact meaning and the relationship between the queries submitted by the user. The fuzzy logic that has been implemented will provide the accurate meaning between them in collaborative sequence. In paper [2] there has been a comparison made between keyword and semantic based search engines. In paper [3] for identifying the relationship, the concept is split into two. They are content concept and location concept. Here for the location concept, the external GPS method is used. In paper [4] multi crawler concepts are used. In this paper, a survey is presented about ontology based search engines and the need for the user’s migration to it.