An integration approach of multi-source heterogeneous fuzzy spatiotemporal data based on RDF

• Published in: Journal of intelligent & fuzzy systems Vol. 40; no. 1; pp. 1065 - 1082
• Main Authors: Bai, Luyi, Li, Nan, Bai, Huilei
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2021; Sage Publications Ltd
• Subjects: Consortia; Data integration; Resource Description Framework-RDF; Spatiotemporal data; RDF; data integration; multi-source heterogeneous fuzzy spatiotemporal data
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-201258

With the growing importance of the fuzzy spatiotemporal data in information application, there is an increasing need for researching on the integration method of multi-source heterogeneous fuzzy spatiotemporal data. In this paper, we first propose a fuzzy spatiotemporal RDF graph model based on RDF (Resource Description Framework) that proposed by the World Wide Web Consortium (W3C) to represent data in triples (subject, predicate, object). Secondly, we analyze and classify the related heterogeneous problems of multi-source heterogeneous fuzzy spatiotemporal data, and use the fuzzy spatiotemporal RDF graph model to define the corresponding rules to solve these heterogeneous problems. In addition, based on the characteristics of RDF triples, we analyze the heterogeneous problem of multi-source heterogeneous fuzzy spatiotemporal data integration in RDF triples, and provide the integration methods FRDFG in this paper. Finally, we report our experiments results to validate our approach and show its significant superiority.