Radio frequency identification (RFID) has been widely used in supporting the logistics
management on manufacturing shopfloors where production resources attached with RFID …

The development of mobile technologies has paved the way for new and various
applications taking advantage of trajectory data resulting from moving objects activities in …

GPS technology is widely used to produce detailed data on the movement of people.
Analysing massive amounts of GPS data, however, can be cumbersome. We present a …

In this paper, a novel trajectory clustering algorithm-TAD-is proposed to extract trajectory
Stays based on spatial-temporal density analysis of data. Two new metrics-NMAST …

Several works have been proposed in the last few years for raw trajectory data analysis, and
some attempts have been made to define trajectories from a more semantic point of view …

In this paper we introduce a methodology for extracting mobility profiles of individuals from
raw digital traces (in particular, GPS traces), and study criteria to match individuals based on …

In this paper we present a new conceptual model of trajectories, which accounts for
semantic and indoor space information and supports the design and implementation of …

This position paper presents our vision for the semantic management of moving objects. We
argue that exploiting semantic techniques in mobility data management can bring valuable …

With the development of global position system (GPS), wireless technology and location
aware services, it is possible to collect a large quantity of trajectory data. In the field of data …

In this paper we present a Semantic Indoor Trajectory Model aimed at supporting the design
and implementation of context-aware mobility data mining and statistical analytics methods …