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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)

Paper ID
4138
Venue
SIGMOD
Year
2008
Pagerank
-
Overall Rank
13,758 | 5.61%
DOI
10.1145/1376616.1376748

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Authors

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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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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