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An Extendable Framework for Managing Uncertain Spatio-Temporal Data

Summary: Extendable Uncertain-Spatio-Temporal (UST) framework for visualizing location-time triples with explicit uncertainty. Demonstrates uncertainty minimization via stochastic models, and enables time navigation plus spatio-temporal window and NN queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4892
Venue
SIGMOD
Year
2014
Pagerank
5.1685424e-05
Overall Rank
10,054 | 31.03%
DOI
10.1145/2588555.2594523

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{emrich_sigmod14,
        title = {{An Extendable Framework for Managing Uncertain Spatio-Temporal Data}},
        author = {Emrich, Tobias and Franzke, Maximilian and Kriegel, Hans-Peter and Niedermayer, Johannes and Renz, Matthias and Züfle, Andreas},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2594523},
        url = {https://dl.acm.org/doi/10.1145/2588555.2594523},
        year = {2014}
}

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11,850 Top-k Queries over Digital Traces 2019 SIGMOD 5.093636e-05
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