HERMES: Aggregative LBS via a Trajectory DB Engine
Summary: Prototype system HERMES with a powerful trajectory-DB query language enabling aggregative LBS. Integrated into a modern Object-Relational DBMS; leverages trajectory knowledge to enhance spatio-temporal query processing for customizable LBS. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Nikos Pelekis (University of Piraeus)
- 2. Elias Frentzos (University of Piraeus)
- 3. Nikos Giatrakos (University of Piraeus)
- 4. Yannis Theodoridis (University of Piraeus)
BibTeX Citation
@inproceedings{pelekis_sigmod08,
title = {{HERMES: Aggregative LBS via a Trajectory DB Engine}},
author = {Pelekis, Nikos and Frentzos, Elias and Giatrakos, Nikos and Theodoridis, Yannis},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376748},
url = {https://dl.acm.org/doi/10.1145/1376616.1376748},
year = {2008}
}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,375 | Novel Approaches to the Indexing of Moving Object Trajectories | 2000 | VLDB | 8.6753909e-05 |
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