International Journal of Future Computer and Communication (IJFCC)
Search engines employed under cloud computing have been crucial in enabling users in retrieving information. This has allowed users to access wide volume of information that is significantly impossible under the tradition information collection that involved manual search of the intended information. This paper is on improving the traditional search engine by providing a novel framework for people to obtain reliable, personalization and graphical representation search results. This paper proposes and develops a visual exploratory search engine solution extremely good in understanding semantic similarity computation which can access multiple metadata based search engines at the same time and generating real-time relationship graphs for a better visual exploratory search in a cloud computing environment.