| 面向道路交通违法行为的事理图谱构建技术 |
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| 引用本文： | 王翠,胡昊天,邓三鸿.面向道路交通违法行为的事理图谱构建技术[J].交通信息与安全,2022,40(1):36-44. |
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| 作者姓名： | 王翠 胡昊天 邓三鸿 |
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| 作者单位： | 1.南京大学信息管理学院 南京 210023 |
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| 摘 要： | 我国道路交通安全法律法规体系不断完善,要求交警部门针对具体的交通违法行为给予不同程度的处罚,为了响应国家以智慧化推动治理现代化的号召,可利用事理图谱技术构建道路交通领域知识库,揭示道路交通违法行为事件之间的逻辑关系,能快速且有效辅助处理交通违章事件.以开源数据为基础,面向道路交通违法行为构建事件语料库,通过事件抽取、关...
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| 关 键 词： | 交通安全 交通违法 事理图谱 问答系统 道路交通 |
| 收稿时间： | 2021-06-15 |
Development of a Knowledge Base for Reasoning Penalty for Traffic Violations Based on Event Evolutionary Graph |
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| WANG Cui,HU Haotian,DENG Sanhong.Development of a Knowledge Base for Reasoning Penalty for Traffic Violations Based on Event Evolutionary Graph[J].Journal of Transport Information and Safety,2022,40(1):36-44. |
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| Authors: | WANG Cui HU Haotian DENG Sanhong |
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| Affiliation: | 1.School of Information Management, Nanjing University, Nanjing 210023, China2.Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing University, Nanjing 210023, China |
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| Abstract: | With continuous improvement of laws and regulations related to road safety in China, traffic police departments are required to issue different penalties for specific traffic violations. In response to the call and to improve the capacity of"intelligent governance", this article proposes to develop a knowledge base for traffic violations and accidents with event evolutionary graph, which can be used to reason appropriate penalty for traffic violations& accidents quickly and efficiently. This paper uses open-source data to develop the knowledge base required for processing traffic violations/accidents and creates an event evolutionary graph through extracting traffic events and their relationship. Moreover, a knowledge base system for traffic violations/accidents is developed. The experimental results show that the proposed system offers a F1 score of 0.832 when classifying traffic violations and accidents, which indicates that the event evolutionary graph is a good tool for reasoning the penalty of traffic violations and accidents. |
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