Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …

As more and more mobile devices and IoT terminals are connected to the Internet, a huge
amount of spatio-temporal data is generated. In order to cope with the pressure of storing …

The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this survey, we summarize the state-of-the-art work in the area of big …

The recent advances in location tracking technologies and the widespread use of location-
aware applications have resulted in big datasets of moving object trajectories. While there …

The availability of moving object data that is being collected nowadays, and the demand of
using them in applications, have generated the need for spatiotemporal data management …

Spatiotemporal data represent the real-world objects that move in geographic space over
time. The enormous numbers of mobile sensors and location tracking devices continuously …

BBoxDB Streams is a distributed stream processing system, which allows the handling of
multi-dimensional data. Multi-dimensional streams consist of n-dimensional elements, such …

The advent of big data technologies has changed the way many companies manage their
data. Several companies moved their data to the cloud using the concept of database‐as‐a …

Current moving-object database (MOD) systems focus on management of movement data,
but pay less attention to modelling social relationships between moving objects and spatial …

The GPS positioning sensors enable mobile devices to generate amounts of location-based
data, such as trajectory, gyro, and GPS data. One meaningful work is efficient querying and …