POIsam: A System for Efficient Selection of Large-scale Geospatial Data on Maps

Guo, T, Li, M, Li, P, Bao, Z and Cong, G 2018, 'POIsam: A System for Efficient Selection of Large-scale Geospatial Data on Maps', in Proceedings of the 2018 International Conference on Management of Data (SIGMOD 2018), Houston, United States, 10-15 June 2018, pp. 1677-1680.


Document type: Conference Paper
Collection: Conference Papers

Title POIsam: A System for Efficient Selection of Large-scale Geospatial Data on Maps
Author(s) Guo, T
Li, M
Li, P
Bao, Z
Cong, G
Year 2018
Conference name SIGMOD 2018
Conference location Houston, United States
Conference dates 10-15 June 2018
Proceedings title Proceedings of the 2018 International Conference on Management of Data (SIGMOD 2018)
Publisher Association for Computing Machinery
Place of publication New York, United States
Start page 1677
End page 1680
Total pages 4
Abstract In this demonstration we present POIsam, a visualization system supporting the following desirable features: representativeness, visibility constraint, zooming consistency, and panning consistency. The first two constraints aim to efficiently select a small set of representative objects from the current region of user's interest, and any two selected objects should not be too close to each other for users to distinguish in the limited space of a screen. One unique feature of POISam is that any similarity metrics can be plugged into POISam to meet the user's specific needs in different scenarios. The latter two consistencies are fundamental challenges to efficiently update the selection result w.r.t. user's zoom in, zoom out and panning operations when they interact with the map. POISam drops a common assumption from all previous work, i.e. the zoom levels and region cells are pre-defined and indexed, and objects are selected from such region cells at a particular zoom level rather than from user's current region of interest (which in most cases do not correspond to the pre-defined cells). It results in extra challenge as we need to do object selection via online computation. To our best knowledge, this is the first system that is able to meet all the four features to achieve an interactive visualization map exploration system.
Subjects Database Management
DOI - identifier 10.1145/3183713.3193549
Copyright notice © 2018 Association for Computing Machinery
ISBN 9781450347037
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