Fixing the inconsistencies in fuzzy spatiotemporal RDF graph

• Published in: Information sciences Vol. 578; pp. 166 - 180
• Main Authors: Bai, Luyi, Wang, Jinyao, Di, Xiaofeng, Li, Nan
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.11.2021
• Subjects: Fuzzy spatiotemporal data; Inconsistency; RDF graph; Inconsistency; RDF graph; Fuzzy spatiotemporal data
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2021.07.038

Since an increasing number of applications have urgent requirements for the management of fuzzy spatiotemporal information, it is challenging to model fuzzy spatiotemporal data. On the other hand, because Resource Description Framework (RDF) benefits greatly from web data, linked data, and knowledge graph, it has been widely accepted and has rapidly become a new choice to model and represent data in many application domains. The advent of RDF seems to provide an opportunity for dealing with fuzzy spatiotemporal data. However, RDF data is subject to continuously changing operations so that they may violate the integrity constraints and cause inconsistencies. In order to solve these problems, we propose an extended RDF model that can represent fuzzy spatiotemporal data, and then present the structure of fuzzy spatiotemporal data in RDF graph. After studying the constraint conditions of fuzzy spatiotemporal data in RDF graph, we propose the corresponding fixing rules and algorithms to detect and repair the fuzzy spatiotemporal RDF graph. Finally, the experimental results demonstrate the effectiveness of our approach which can significantly solve the inconsistency problem of fuzzy spatiotemporal RDF graphs.