Research on movement has increased over the past two decades, particularly in movement
ecology, which studies animal movement. Taking context into consideration when analysing …

Abstract The Internet of Things (IoT) paradigm represents networks of objects that, without
requiring human action, sense and interact with the environment, collect data, and transmit …

Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …

Characterizing activity pattern such as behavior preferences or habits is crucial in many
fields. However, existing studies mainly focus on the spatial-temporal dimensions of raw …

The increasing popularity of Location-Based Social Networks (LBSNs) and the semantic
enrichment of mobility data in several contexts in the last years has led to the generation of …

Trajectory analysis holds many promises, from improvements in traffic management to
routing advice or infrastructure development. However, learning users' paths is extremely …

In trajectory classification tasks, the challenge is to find the subtrajectories or a set of
features that better discriminate the class. However, there is a lack of robustness in existing …

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 …

In this paper we model spatio-temporal data describing the fishing activities in the Northern
Adriatic Sea over four years. We build, implement and analyze a database based on the …

The widespread adoption of personal location devices, the Internet of Mobile Things, and
Location Based Social Networks, enables the collection of vast amounts of movement data …