ConnectA! : An Intelligent Search Engine based on Authors´ Connectivity

Searching documents about a specific subject written by a group of closely related authors may sometimes come in use for the researchers. This task is usually overwhelming, since the surfer is not familiar with all the authors in that community. In this paper, we propose a semantic Web search engine called ConnectA! that helps the users to find the publications of a community of authors on a specific subject, while they only know a very limited number of the authors in that community. The primary live evaluation of the implemented model shows the efficiency of the method.