Extracting Semantic Location from Outdoor Positioning Systems

With help of context, computer systems and applications could be more user-friendly, flexible and adaptable. With semantic locations, applications can understand users better or provide helpful services. We propose a method that automatically derives semantic locations from user’s trace. Our experimental results show that the proposed method identities up to 96% correct semantic locations.