Keyword coupling query of spatiotemporal data based on XML

Article type: Research Article

Authors: Bai, Luyi^{; *} | Cui, Zengmei | Duan, Xinyi | Fu, Hao

Affiliations: School of Computer and Communication Engineering, Northeastern University (Qinhuangdao), Qinhuangdao, China

Correspondence: [*] Corresponding author. Luyi Bai, School of Computer and Communication Engineering, Northeastern University (Qinhuang-dao), Qinhuangdao, China. E-mail: baily@neuq.edu.cn.

Abstract: With the increasing popularity of XML for data representations, there is a lot of interest in keyword query on XML. Many algorithms have been proposed for XML keyword queries. But the existing approaches fall short in their abilities to analyze the logical relationship between keywords of spatiotemporal data. To overcome this limitation, in this paper, we firstly propose the concept of query time series (QTS) according to the data revision degree. For the logical relationship of keywords in QTS, we study the intra-coupling logic relationship and the inter-coupling logic relationship separately. Then a calculation method of keyword similarity is proposed and the best parameter in the method is found through experiment. Finally, we compare this method with others. Experimental results show that our method is superior to previous approaches.

Keywords: Data revision degree, keyword search, spatiotemporal data, XML

DOI: 10.3233/JIFS-211537

Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 2219-2228, 2022