Abstract
A linear mapping is a technique that stores objects with multi-dimensional properties in data storage in a certain order. The mapping aims at preserving spatial locality, which means that objects in the same cluster are likely to be accessed together. Locality is a crucial property to improve performance of accessing data. The level of efficiency of a linear mapping relies on distance metric. Existing linear mapping techniques such as Hilbert curve may maximize their efficiency in Euclidean space. For linear mapping, objects in indoor spaces should be dealt with in a different manner because distance measurement in indoor space differs from that in Euclidean space. In this paper, we specify requirements of linear mappings in indoor space and suggest a linear mapping based on heuristics for indoor space objects.
Original language | English |
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Title of host publication | Proceedings of the 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015 |
Editors | Ki-Joune Li, Nobuo Kawaguchi |
Publisher | Association for Computing Machinery, Inc |
Pages | 15-18 |
Number of pages | 4 |
ISBN (Electronic) | 9781450339780 |
DOIs | |
State | Published - Nov 3 2015 |
Externally published | Yes |
Event | 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015 - Seattle, United States Duration: Nov 3 2015 → … |
Publication series
Name | Proceedings of the 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015 |
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Conference
Conference | 7th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015 |
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Country/Territory | United States |
City | Seattle |
Period | 11/3/15 → … |
Funding
This research was partially supported by a grant(11 Hightech G11) from Architecture and Urban Development Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government, and a grant(14NSIP-B080144-01) from National Land Space Information Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government. This work was also partly supported by the ICT RandD program of MSIP/IITP [14-824-10-005, Development of In-Memory based 3D spatial DBMS for Spatial Convergence Industry].
Keywords
- Clustering
- Hierarchy
- Indoor space
- Linear mapping