Comparative Study of Different Search Engines in Context of Features and Semantics
Sanjib Kumar Sahu, Dwarikanath Mahapatra, Rakesh Chandra Balabantaray · 2016
Surfing internet for various purposes has become a habit of humans. Fact states that, after email, surfing/searching is the most did act now days. Information quality linked through these searches is quite irregular. There are chances that these retrieved results can be irreverent and belongs to an unreliable sources. Widely used search engines like Google, Yahoo, Bing and Ask are the most famous ones. Even though their job is the same i.e. to act as search engines and have Searching Features, but the ways of doing that is different. Semantic based search engines work on the semantics of the query. The WWW (World Wide Web) is the live proof of all the changes it has gone through within its short span of time, it has seen that search engines in past were recognized were either keyword based or dependent on traditional database. Researchers have been already working on various algorithms to provide better results. This paper concludes that semantic based search engines have more advantages over keyword based search engines in terms of accuracy of getting result. This paper also compares the retrieval effectiveness in terms of accuracy in searching of Google, Bing, Yahoo and Ask search engines for evaluating effectiveness of all four search engines. This paper is a survey and study work, which discusses a comparative study of different types of search engines in context of semantic web. The present study is also compares all the four search Engines mentioned above.