Semantic web and augmented reality for searching people, events and points of interest within of a university campus

Abstract

The advance of technology makes that mobile devices have gained widespread popularity. Modern mobile devices include build in sensors, cameras, compasses, and enhanced storage and processing capabilities, which allow developers to use those features to create applications with new or enhanced functionality. In this context we present a mobile application for searching places, people an events within a university campus. In our work we leverage semantic web and augmented reality to provide an application with a high degree of query expressiveness and an enhanced user experience. In addition, we validate our approach with a use case example that shows the complete searching process.