"Visualization of Large Bases of Data Extracted from the Web"

Supervised by Professor F Ciravegna

Abstract

Since the Web is the largest repository in the world, it is difficult for end user to search, organize, and classify the information of interest on the Web. The Semantic Web, which is the second generation of the Web, aims to solve this problem by making the content understandable by computers. Information visualization exploits the human's congenital visual perception capabilities in order to provide a way to make the information more accessible. The project outlined in this report concerns designing a system using the Semantic Web technology and information visualization technology to build up a semantic search engine to extract large bases of data of London restaurant. Relevant technologies are described and discussed in chapters, followed by the requirement and analysis of this system. Afterwards, the design and implementation are presented in two different chapters. And then the evaluation of the system is discussed. Finally, a conclusion that sums up this whole project is drawn at the end.