loading page

A Context-Aware based Method for Indexing Large-Scale SpatioTemporal Data
  • +3
  • ruijie tian ,
  • fei wang ,
  • weishi zhang ,
  • Junting Xiong ,
  • Huawei Zhai ,
  • Jiexuan Du
ruijie tian
Dalian Maritime University

Corresponding Author:[email protected]

Author Profile
weishi zhang
Author Profile
Junting Xiong
Author Profile
Huawei Zhai
Author Profile
Jiexuan Du
Author Profile


With the rise of mobile terminals and the maturity of positioning technology, the amount of available spatiotemporal data continues to grow rapidly, so it is crucial to be able to process it efficiently. This paper proposes a multi-level indexing technique based on context dimension awareness. It first selects the partition order by the unit scale of each context dimension in the dataset. Second, it consider the distribution of each context dimension in the dataset, choose an appropriate partitioning method, and divide the dataset into multiple balanced splits. We test the method on real-world datasets, and experiments show that the speed of query execution increased and resource-use efficiency improved by our approach.