Title :
MCPath: Effectively Query the Structure Data in the Multidimensional Moving Object Network
Author :
Kongfa Hu ; Long Li ; Xiangqian Xue ; Ling Chen
Author_Institution :
Coll. of Inf. Eng., Yangzhou Univ., Yangzhou, China
Abstract :
Aimed at the amount of aggregation graphs produced by the dimension which the user is interesting on the multidimensional moving object network. By introducing the idea of graph index, we put forward of the structure data query algorithm MCPath to solve the problem of querying the interesting structure data on specific dimension. MCPath algorithm decomposes the query structure to the shortest paths, and then joins those candidate paths, finally, generates the structural data which the user need to query. The algorithm changes the former method of query only one node once to the method of query one path once, reduces the times of querying structure data, and quickens the speed of querying the structural data.
Keywords :
data structures; graph theory; network theory (graphs); query processing; visual databases; MCPath algorithm; aggregation graphs; candidate paths; graph index; multidimensional moving object network; query structure decomposition; shortest paths; structure data query algorithm; structure data querying; Algorithm design and analysis; Educational institutions; Indexes; Mobile communication; Mobile computing; Query processing; Software; multidimensional moving object network; shortest paths; structure query;
Conference_Titel :
Web Information System and Application Conference (WISA), 2013 10th
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4799-3218-4
DOI :
10.1109/WISA.2013.27