A location-aware user tracking and prediction system

Modern location-aware services and applications use context and prediction methods to adapt to the needs of users and changes in the environment. The growing availability of WLAN and mobile devices offers significant opportunities for locationaware services. But the use of WLAN or RFID technologies alone provides a less accurate estimation of a user´s current location. In this paper, we introduce an ontology-based location tracking system. It makes use of both WLAN and RFID technologies, and includes a prediction method for identifying a user´s current location and predicted future location. Our system architecture better serves the client by using location and context information.