Semantic web works on producing machine readable data. So semantic web aims to overcome the amount of data that is consisted. The most important tool to access the data which exist in web is the search engine. Traditional search engines are insufficient in the face of the amount of data that is consisted as a result of the existing pages on the web. Semantic search engines are extensions to traditional search engins and improved version. This paper summarizes semantic web, traditional and semantic search engine concepts and infrastructure. Also semantic search approaches and differences from traditional approach are detailed. A summary of the literature is provided by touching on the trends on this area. In this respect, type of applications and the areas worked for are considered. Based on the data for two different years, trend on these points are analyzed and impacts of changes are discussed. It shows that evaluation on the semantic web continues and new applications and areas are also emerging.