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Distance Oracle on Terrain Surface

Summary: Proposes SE, a space-efficient epsilon-approximate distance oracle for shortest-distance queries on terrain surfaces. Storing concise pairwise POI distances, SE delivers small construction time, compact oracle size, and fast queries with up to 2-5 orders of magnitude speedups over prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5476
Venue
SIGMOD
Year
2017
Pagerank
5.093636e-05
Overall Rank
11,993 | 17.72%
DOI
10.1145/3035918.3064038

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{wei_sigmod17,
        title = {{Distance Oracle on Terrain Surface}},
        author = {Wei, Victor Junqiu and Wong, Raymond Chi-Wing and Long, Cheng and Mount, David M.},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3064038},
        url = {https://dl.acm.org/doi/10.1145/3035918.3064038},
        year = {2017}
}

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Outgoing Citations (Sorted by Pagerank)

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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
1,618 Continuous Monitoring of Nearest Neighbors on Land Surface 2009 VLDB 0.00010207737
1,619 Indexing Land Surface for Efficient kNN Query 2008 VLDB 0.00010207737
8,532 New Lower and Upper Bounds for Shortest Distance Queries on Terrains 2016 VLDB 5.4119882e-05
8,537 Finding Shortest Paths on Terrains by Killing Two Birds with One Stone 2014 VLDB 5.4119882e-05
8,543 Finding Shortest Path on Land Surface 2011 SIGMOD 5.4119882e-05
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