GIS

Mobile devices equipped with geo-location modules facilitate researches on the nature of human mobility. While valuable contributions have been made to discover trajectory patterns from movement history, there are still not a comparative amount of works ...

The Linked Open Data (LOD) cloud contains vast spatio-temporal information that can be exploited by the location-based mobile applications and presented using Augmented Reality (AR). While AR shows to be well suited for searching and browsing location-...

Large population displacements are usually observed after nature disasters. The best approximations to real world population movement in such a short temporal scale are the users' movements patterns derived from the cell phone usage data. However, due ...

We consider the problem of finding the closest point of interest in road networks where the travel time along each edge is a function of the departure time and the service time of the facilities are taken into consideration. More specifically, our query ...

Using "check-in" data gathered from location-based social networks, this paper proposes to measure the similarity of users by considering the geographical and the temporal aspect of their geographical and temporal aspects of their "check-ins". Temporal ...

While the visual rendering of map data is probably the first thing catching somebody's eyes e.g. in a route planning application, the actual usability is heavily dependent on the ability to efficiently search for textual information in the map data. In ...

Predicting the location of people from their mobile phone logs is becoming an attractive research area. Due to two main reasons this problem is very challenging: the log data is very large and there is a variety of granularity levels both for specifying ...

In this work we present a battery-saving algorithm for Location Based Services (LBS) that exploits the geofence functionalities provided by modern mobile operating systems such as iOS and Android. The algorithm detects the surrounding areas of interest (...

Tourist Information Systems (TIS) provide recommendations and help users avoid information overload while planning their trip. In an effort to provide better results, most systems categorize users indiscreetly into pre-determined groups without ...