We describe the ideas and results of an applied research project that aims at leveraging the expressive power of semantic web technologies as a server-side backend for mobile applications that provide access to location and multimedia data and allow for a rich user experience in mobile scenarios, ranging from city and museum guides to multimedia enhancements of any kind of narrative content, including e-book applications. In particular, we will outline a reusable software architecture for both server-side functionality and native mobile platforms that is aimed at significantly decreasing the effort required for developing particular applications of that kind.
Our paper will outline the results of a research project that employs image processing for the automatic diagnosis of
technical devices whose internal state is communicated through visual displays. In particular, we developed a method
for detecting exceptional states of retail wireless routers, analysing the state and blinking behaviour of the LEDs that
make up most routers’ user interface. The method was made configurable by means of abstracting away from a particular
device’s display properties, thus being able to analyse a whole range of different devices whose displays are covered by
our abstraction. The method of analysis and its configuration mechanism were implemented as a native mobile application
for the Android Platform. It employs the local camera of mobile devices for capturing a router’s state, and uses overlaid
visual hints for guiding the user toward that perspective from where an analysis is possible.