Visualization of Web Page Content Using Semantic Technologies

This paper presents a system for visualizing the information contained in the text of a web page. The goal of the visualization is to help the users better and faster understand the text on a web page and/or find related content on the internet. These visualizations are possible due to the use of text mining, natural language processing and semantic web technologies. Our system tries to make these technologies instantly accessible to a wide variety of users reading a wide variety of web pages. This high coverage of both users and content can be achieved because the system is implemented as an extension to Firefox, one of the most popular browsers, and because the visualizations are computed on the fly for any page the user happens to be reading at a given moment.