船舶现场监督业务的知识图谱构建方法  

Knowledge graph construction method for vessel on-site supervision business

作　　者：刘成勇[1,3] 项邦豪 张东方 甘浪雄 束亚清[1,3] 许毅 LIU Cheng-yong;XIANG Bang-hao;ZHANG Dong-fang;GAN Lang-xiong;SHU Ya-qing;XU Yi(School of Navigation,Wuhan University of Technology,Wuhan 430063,China;School of Computer Science and Technology,Wuhan University of Technology,Wuhan 430063,China;Hubei Key Laboratory of Inland Shipping Technology,Wuhan 430063,China;Suzhou Port and Shipping Development Center,Suzhou 215000,China)

机构地区：[1]武汉理工大学航运学院,武汉430063 [2]武汉理工大学计算机科学与技术学院,武汉430063 [3]内河航运技术湖北省重点实验室,武汉430063 [4]苏州市港航事业发展中心,江苏苏州215000

出　　处：《大连海事大学学报》2022年第4期38-47,共10页Journal of Dalian Maritime University

基　　金：国家自然科学基金资助项目(52171350)。

摘　　要：为提高水路运输安全监管能力,向海事行政执法人员提供有效的信息技术支持,针对智慧海事场景下船舶现场监督知识分散复杂、查询困难的问题,提出了自顶向下与自底向上相结合的知识图谱构建方法。通过分析船舶现场监督三元组结构并构建本体模型,采用基于序列标注模型、爬虫技术进行实体识别与知识抽取,并通过二元分类模型融合领域知识,利用图数据库Neo4j进行知识存储与可视化。以盐城市大丰港为例,构建船舶现场监督知识图谱并进行实验验证。结果表明:该构建方法具有较高的准确度,知识图谱技术可有效关联船舶现场监督知识,有力支持海事执法人员对检查事件的回溯及利用,为实现智慧海事提供了新的方法。In order to improve the safety supervision ability of waterway transportation,and provide effective information technology support to maritime administrative law enforcement officers,a top-down and bottom-up knowledge graph construction method was proposed to solve the problems of decentralized and complex knowledge and difficult query of vessel on-site supervision in the smart maritime scene.By analyzing the triple structure of vessel on-site supervision and building an ontology model,the entity recognition and knowledge extraction were carried out by using sequence annotation based model and crawler technology,and domain knowledge was integrated by using binary classification model,and knowledge storage and visualization were carried out by using graph database Neo4j.Taking Dafeng port in Yancheng city as an example,the knowledge graph of vessel on-site supervision was constructed and experimentally verified.The results show that the construction method has higher accuracy,the knowledge graph technology can effectively correlate with the vessel on-site supervision knowledge,strongly support the maritime law enforcement personnel to backtrack and use the inspection events,and provide a new method for realizing intelligent maritime.

关 键 词：水路运输 船舶现场监督 知识图谱 知识融合 知识抽取 

分 类 号：U692[交通运输工程—港口、海岸及近海工程]