Algorithm Research & Explore
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3255-3262

Trajectory graph:method of trajectory information identifying based on knowledge graph

Wu Xia
Zhao Xiaoming
Yu Jiankun
Big Data Research Institute of Yunnan Economy & Society, Yunnan University of Finance and Economics, Kunming 650221, China

Abstract

For different applications, many methods need trajectories to be designed and stored in different data structures, and searched by different algorithms, that is to say they are lack of universal property. For the purpose of increasing the universal property of trajectories, this paper proposed a method to translate trajectories into trajectory graphs which have the same structures as knowledge graphs, and proposed method first identified entities, relations and attributes according to the features of trajectories in turn, then grouped them into trajectory graphs. Trajectory graphs are graphs, they can support the basic queries, range queries, nearest neighbor queries, keyword searches and pattern searches of trajectories, also can be added into existing knowledge bases easily. At last, this paper took an experimental analysis on real data, compares the performances of proposed method and common database method, it shows that proposed method is efficient and universal.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0270
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3255-3262
Serial Number: 1001-3695(2020)11-011-3255-08

Publish History

[2020-11-05] Printed Article

Cite This Article

吴瑕, 赵小明, 余建坤. 轨迹图谱:一种基于知识图谱结构的轨迹信息抽取方法 [J]. 计算机应用研究, 2020, 37 (11): 3255-3262. (Wu Xia, Zhao Xiaoming, Yu Jiankun. Trajectory graph:method of trajectory information identifying based on knowledge graph [J]. Application Research of Computers, 2020, 37 (11): 3255-3262. )

About the Journal

  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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