顾及多类型用户需求的灾害场景语义相关度计算  

Semantic Relevance Calculation of Disaster Scene by Considering Needs of Multitype-Users

作　　者：谭剪梅 高山 刘猛猛 李维炼 TAN Jianmei;GAO Shan;LIU Mengmeng;LI Weilian(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 610031,China;Chinese Academy of Surveying and Mapping,Beijing 100089,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,四川成都610031 [2]中国测绘科学研究院,北京100089

出　　处：《测绘与空间地理信息》2020年第7期165-167,171,175,共5页Geomatics & Spatial Information Technology

摘　　要：针对自然灾害发生后,不同类型的人群在应急响应过程中对灾害现场场景可视化有着不同需求以及灾害场景模型针对性较低的问题,本文提出了一种基于本体的语义相关度计算方法。利用本体方法确定灾害场景模型与多类型用户需求在概念语义上的逻辑关系,按照多用户可视化需求语义相关度划分灾害场景模型要素,在此基础上采取用户需求规则约束的推理技术计算语义相关度,从而量化灾害场景可视化数据权重。实验案例表明该方法具有可行性,能有效提升灾害场景按需推送和按需构建的效率。In accordance with the problem after natural disasters that different types of people have different needs for the visualization of disaster site during the emergency response process and existing visualization mechanism lacks of enough pertinence,an ontology-based semantic relevance calculating method was proposed by this paper.We utilize ontology-based method to verify logic relationship between disaster scene models and multitype-users′needs on the position of concept semantic,and then divide the elements of disaster scene model according to the semantic relevance of multi-type users′needs.Based on this,reasoning mechanism constrained by users′needs was used to calculate semantic relevance,and finally quantify the weight of visualization data.The experiment shows that this method is feasible and can effectively construct and provide disaster scene according to users′needs.

关 键 词：本体 多类型用户需求 语义相关度 灾害场景模型 可视化 

分 类 号：P208[天文地球—地图制图学与地理信息工程]