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Based on this model, the RDF local semantic models are converted into a RDF global semantic model after mapping relational data and XML data to RDF local semantic models. The existing methods mainly convert relational data to RDF Schema directly. But our approach converts relational data to XML Schema and then converts it to RDF, which utilizes the semi-structured feature of XML schema to solve the structural heterogeneity between different data sources. The integration process enables us to perform global queries against different data sources. In the proposed query algorithms, the query conditions inputted are converted into exact queries before the results are returned. Finally, this paper has carried out extensive experiments, calculated the recall, precision and F-Score of the experimental results, and compared with other state-of-the-art query methods. It shows the importance of the data integration method and the effectiveness of the query method proposed in this paper.<\/jats:p>","DOI":"10.3233\/jifs-202357","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T13:52:54Z","timestamp":1614088374000},"page":"9843-9854","source":"Crossref","is-referenced-by-count":4,"title":["Querying multi-source heterogeneous fuzzy spatiotemporal data"],"prefix":"10.1177","volume":"40","author":[{"given":"Luyi","family":"Bai","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, Northeastern University (Qinhuangdao), Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Northeastern University (Qinhuangdao), Qinhuangdao, 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