摘要
鉴于近年来气候变化的加剧,海洋灾害频繁发生且后果严重,构建面向海洋综合减灾的问答系统成为迫切需要完成的任务。本研究通过收集和整理海洋减灾领域的专业知识,将知识建模成包含实体、属性和关系的知识图谱。结合知识图谱识别问句实体,通过语义匹配和问题解析构建模型分类问句意图,从图谱中检索答案。此外,研究提供了可视化的海洋灾害知识图谱,支持交互式探索和查询,能够直观了解灾害之间的关联性,有效提升用户对海洋防灾知识的了解程度。
In view of the intensified climate change in recent years,marine disasters occur frequently and have serious consequences.Therefore,it is an urgent task to build an ocean comprehensive disaster reduction Question-Answering system.By collecting and organizing professional knowledge in the field of marine disaster reduction,the knowledge is modeled into a knowledge graph that includes entities,attributes,and relationships.With the combination of knowledge graph and the recognition of question entities,through semantic matching and question parsing,a model is constructed to classify the intentions of questions and retrieve answers from the knowledge graph.In addition,a visualization of the marine disaster knowledge graph is provided,supporting interactive exploration and querying.It enables intuitive understanding of the relationships between disasters and effectively enhances users'understanding of marine disaster prevention knowledge.
作者
宋强
宋子豪
刘江杰
钱佳琛
陈若彤
SONG Qiang;SONG Zihao;LIU Jiangjie;QIAN Jiachen;CHEN Ruotong(School of Computer Engineering,Jiangsu Ocean University,Lianyungang Jiangsu 222005,China)
出处
《信息与电脑》
2024年第3期130-132,共3页
Information & Computer
基金
全国高等院校计算机基础教育研究会教学研究项目(项目编号:2023-AFCEC-307)
江苏省计算机学会教学类项目(项目编号:JSCS2022028)
江苏省大学生创新创业项目(项目编号:202211641027Z、202311641003Z)。
关键词
知识图谱
问答系统
海洋灾害
knowledge graph
question-answering system
marine disaster