HERMES

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HERMES: aggregative LBS via a trajectory DB engine

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International Conference on Management of Data archive
Proceedings of the 2008 ACM SIGMOD international conference on Management of data table of contents

Vancouver, Canada

DEMONSTRATION SESSION: Group 1 table of contents

Pages 1255-1258

Year of Publication: 2008

ISBN:978-1-60558-102-6

Authors

Nikos Pelekis	University of Piraeus, Piraeus, Greece
Elias Frentzos	University of Piraeus, Piraeus, Greece
Nikos Giatrakos	University of Piraeus, Piraeus, Greece
Yannis Theodoridis	University of Piraeus, Piraeus, Greece

Sponsors

ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

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ABSTRACT

We present HERMES, a prototype system based on a powerful query language for trajectory databases, which enables the support of aggregative Location-Based Services (LBS). The key observation that motivates HERMES is that the more the knowledge in hand about the trajectory of a mobile user, the better the exploitation of the advances in spatio-temporal query processing for providing intelligent LBS. HERMES is fully incorporated into a state-of-the-art Object-Relational DBMS, and its demonstration illustrates its flexibility and usefulness for delivering custom-defined LBS.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Frentzos, E., Gratsias, K., Pelekis, N., and Theodoridis, Y. Algorithms for Nearest Neighbor Search on Moving Object Trajectories. Geoinformatica, 11:159--193, 2007.
	2	Frentzos, E., Gratsias, K., and Theodoridis, Y. Towards the Next Generation of Location-based Services. Proceedings of W2GIS, 2007.
	3	Frentzos, E., Gratsias, K., and Theodoridis, Y. Index-based Most Similar Trajectory Search. Proceedings of ICDE, 2007.
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