Comparative analysis of Web 3.0 search engines: A survey report

Abstract

The amount of information accumulated in the internet through myriad number of databases is massive. The information is searched in the internet with specialized tools known as search engine. A search engine can be viewed as a simple software program that searches for the needed information based on the keywords which the users have typed in. Usually these search and retrieval are based on syntactic analysis(Web 2.0) of keyword, but if these searches and retrieval are based on content analysis, a more meaningful result will be returned to the users. The Semantic Web (Web 3.0) is an extension of the current web in which keyword is given a well-defined meaning. Apart from that another advantage of Semantic Web is its user interface. A large number of Semantic Web search engines have emerged recently which are based on different design principles and provides different levels of support for users and/or applications. However, in spite of the benefits provided by these widely available intuition based search engine, users are reluctant in shifting towards this these sophisticated search engines. In this paper, a survey is done about the semantic search engines to reveal the promising features of the semantic search engines (SSE) and the reason behind the reluctance of the users in adopting these sophisticated search engines.