The World Wide Web (Web) is a visually complex, multimedia system that can be inaccessible to people with visual impairments. SADIe addresses this problem by using Semantic Web technologies to explicate implicit visual structures through a combination of an upper and lower ontology. This is then used to apply accurate transcoding to a range of Websites. To gauge the effectiveness of SADIe's transcoding capability, a user was presented with a series of Web pages, a sample of which had been adapted using SADIe. The results showed that providing answers to fact based questions could be achieved more quickly when information was exposed via SADIe's transcoding. The data obtained during the experiment was analysed with a randomization test to show that the results were statistically significant for a single user.

1. SADIe Exposing Implicit Information to Improve Accessibility Darren Lunn School of Computer Science

3. Implicit Knowledge = Advertisement = Banner = Main Content = Menu

8. Original CNN

9. SADIefied CNN

13. Evaluation Results

17. Questions? http://hcw.cs.manchester.ac.uk/research/sadie