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Keywords Query of uncertain spatiotemporal data based on XML

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Abstract

As an increasing volume of data objects in the real world have spatial features and temporal features, spatiotemporal data emerge in more and more spatiotemporal applications. Meanwhile, uncertainty of spatiotemporal data cannot be ignored in such spatiotemporal applications. On the other hand, since there is a growing interest in XML (eXtensible Markup Language), researches on uncertain spatiotemporal XML data have received increasing attention. Although keyword query has been studied on spatiotemporal data in traditional database, relatively little work has been carried out to investigate keyword query of uncertain spatiotemporal data. In this paper, we study uncertain spatiotemporal data representation based on XML. On the basis of it, we further propose a keyword query approach for uncertain spatiotemporal XML data, including data structure of dynamic keyword data warehouse, probability calculation, and a keyword query algorithm. Finally, the experimental results demonstrate the performance advantages of our approach. Such approach optimizes the structure of spatiotemporal XML data, which facilitates its keyword query.

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Funding

The work was supported by the National Natural Science Foundation of China (61402087), the Natural Science Foundation of Hebei Province (F2022501015), the Key Project of Scientific Research Funds in Colleges and Universities of Hebei Education Department (ZD2020402), and in part by the Program for 333 Talents in Hebei Province (A202001066).

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Authors and Affiliations

  1. School of Computer and Communication Engineering, Northeastern University (Qinhuangdao), Qinhuangdao, China

    Changming Xu, Lin Zhu, Luyi Bai & Juan He

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  1. Changming Xu
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  2. Lin Zhu
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  3. Luyi Bai
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  4. Juan He
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Contributions

Changming Xu: Methodology, Investigation, Validation, Formal analysis, Writing—original draft, Writing—review & editing; Lin Zhu: Validation, Formal analysis, Writing—original draft; Luyi Bai: Conceptualization, Methodology, Formal analysis, Funding acquisition, Writing—original draft, Writing—review & editing; Juan He: Investigation, Formal analysis, Writing—original draft.

Corresponding author

Correspondence to Luyi Bai.

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The authors declare no potential conflicts of interest with respect to the research, authorship, and publication of this article.

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Communicated by: H. Babaie

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Xu, C., Zhu, L., Bai, L. et al. Keywords Query of uncertain spatiotemporal data based on XML. Earth Sci Inform 16, 241–257 (2023). https://doi.org/10.1007/s12145-023-00934-8

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