Indexing the positions of continuously moving objects
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
A predictive location model for location-based services
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Efficient query processing on spatial networks
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Time-focused clustering of trajectories of moving objects
Journal of Intelligent Information Systems
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
The TPR*-tree: an optimized spatio-temporal access method for predictive queries
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
On trip planning queries in spatial databases
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
Towards a taxonomy of location based services
W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
HERMES: aggregative LBS via a trajectory DB engine
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
On the Management and Analysis of Our LifeSteps
ACM SIGKDD Explorations Newsletter
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Location-based services (LBS) constitute an emerging application domain rapidly introduced in modern life habits. However, given that LBS already count a few years of commercial life, the services provided are rather naïve, not exploiting the current software capabilities and the recent research advances in the fields of spatial and spatio-temporal data management. The goal of this paper is to fill this gap by first presenting the next generation of locationbased services and then, demonstrating their implementation which takes advantage of both modern commercial software and state-of-the-art spatial network and spatio-temporal databases techniques. Novel techniques are also proposed in fields non-thoroughly addressed by the research community, such as the prediction of future position of objects moving on a road network.