文章基本信息

标题：Research on the Construction of a Knowledge Graph and Knowledge Reasoning Model in the Field of Urban Traffic
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作者：Jiyuan Tan ; Qianqian Qiu ; Weiwei Guo 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2021
卷号：13
期号：6
页码：3191
DOI：10.3390/su13063191
语种：English
出版社：MDPI, Open Access Journal
摘要：The integration of multi-source transportation data is complex and insufficient in most of the big cities, which made it difficult for researchers to conduct in-depth data mining to improve the policy or the management. In order to solve this problem, a top-down approach is used to construct a knowledge graph of urban traffic system in this paper. First, the model layer of the knowledge graph was used to realize the reuse and sharing of knowledge. Furthermore, the model layer then was stored in the graph database Neo4j. Second, the representation learning based knowledge reasoning model was adopted to implement knowledge completion and improve the knowledge graph. Finally, the proposed method was validated with an urban traffic data set and the results showed that the model could be used to mine the implicit relationship between traffic entities and discover traffic knowledge effectively.