DocumentCode :
1844417
Title :
The Design and Application of Navigation and Location Services Data Index
Author :
Fuqiang Sun ; Wenjun Wang ; Binhan Zhou ; Fei Chen
Author_Institution :
Tianjin Key Lab. of Cognitive Comput. & Applic., Tianjin Univ., Tianjin, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
774
Lastpage :
777
Abstract :
This paper defines the existing navigation and location services data and six kinds of retrieval patterns. By contrasting to the existing trajectory index methods, we propose several index algorithms of different dimensions in the MapReduce mode, particularly, a spatiotemporal index algorithm named Layer-by-layer Index Based on Grid Partition (LIBGP), which efficiently avoids the problem of low trajectory recognition rate. In order to achieve real-time query to a large number of location services data, GPS data as an example, we present a multidimensional retrieval framework, combining the index mechanism of Hbase with our proposed algorithms. An analysis of our experimental results indicates that our methods build a flexible retrieval with high efficiency.
Keywords :
database indexing; information retrieval; mobile computing; Hbase; LIBGP; MapReduce mode; grid partition; layer-by-layer Index; location services data index; multidimensional retrieval framework; navigation data index; real-time query; retrieval pattern; spatiotemporal index algorithm; trajectory index method; trajectory recognition rate; Distributed databases; Global Positioning System; Indexes; Spatiotemporal phenomena; Time factors; Trajectory; distributed index; hadoop; location services data; multi-dimensional retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.208
Filename :
6643124
Link To Document :
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