摘要
地质图件及其附属资源(如描述文本)作为地质知识的重要存储媒介,蕴含着大量的地学知识及专家经验知识及隐式知识。快速精准地对多模态地质数据进行知识规范化定义、形式化表达、语义化关联和精准化推理是目前地学知识抽取及挖掘的前沿。当前,海量的地学数据中图件及附属描述信息知识分布零散,图件中的信息无法有效地与描述信息进行关联并提供知识服务。笔者等以多模态地质数据为数据源,建立了多源数据驱动下的地质图知识表达模型,通过地质基础知识、规则知识及决策知识来表达图件中蕴含的显隐式地质知识,从语义、空间、属性3个维度表示地质对象间的关系;并基于领域知识针对地质图件及描述信息开展了地质实体及关系的精准抽取及存储研究,最后以江西省于都县银坑幅G50E011007图幅1∶50000矿产地质调查矢量数据为例进行了验证与分析,实验结果验证了笔者等所提出的知识表达模型及知识抽取方法,能够较好地解决地质知识建模中图文关联弱、知识挖掘不充分等问题。
Objectives:Geological maps and their ancillary resources(e.g.,related texts and tables),as an important storage medium for geological knowledge,contain a large amount of geoscientific knowledge as well as expert empirical and implicit knowledge.Rapid and accurate knowledge specification definition,formal representation,semantic association and precise reasoning for multimodal geological data are the frontiers of current geoscientific knowledge extraction and mining.Currently,the knowledge distribution of maps and ancillary descriptive information in massive geological data is scattered,and the information in the maps cannot be effectively associated with the descriptive information and provide knowledge services.Methods:In this paper,we take multimodal geological data as data source,establish a geological map knowledge expression model driven by multi-source data,express explicit and implicit geological knowledge embedded in maps through geological knowledge,rule knowledge and decision knowledge,and express relationships among geological objects from three dimensions of semantic,spatial,and attribute;we also carry out a study of the precise extraction and storage of geological entities and relationships based on domain knowledge for geological maps and descriptive information,and finally conduct a study on the precise extraction and storage of geological entities and relationships based on the domain knowledge for geological map and descriptive information.Result:The vector data of 1∶50,000 Mineral Geological Survey of Yinkeng,Yudu County,Jiangxi Province on map sheet G50E011007 is taken as an example for validation and analysis.The experimental results verify that the knowledge expression model and knowledge extraction method proposed in this paper can better solve the problems of weak graphical association and insufficient knowledge mining in geological knowledge modeling.
作者
邱芹军
段雨希
田苗
吴麒瑞
马凯
陶留锋
谢忠
QIU Qinjun;DUAN Yuxi;TIAN Miao;WU Qirui;MA Kai;TAO Liufeng;XIE Zhong(Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen,Guangdong,518034;School of Computer Science,China University of Geosciences,Wuhan,430074;National and Local Joint Engineering Laboratory of Geographic Information System,Wuhan,430074;National Engineering Research Center of Geographic Information System,Wuhan,430074;Key laboratory of geological survey and evaluation of ministry of education,Wuhan,430074;School of Future Technology,China University of Geosciences,Wuhan,430074;Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering,China Three Gorges University,Yichang,Hubei,443002;College of Computer and Information Technology,China Three Gorges University,Yichang,Hubei,443002)
出处
《地质论评》
CAS
CSCD
北大核心
2024年第4期1469-1482,共14页
Geological Review
基金
国家自然科学基金资助项目(编号:42301492)
国家重点研发计划项目(编号:2022YFB3904200,2022YFF0711601)
湖北省自然科学基金资助项目(编号:2022CFB640)
自然资源部城市国土资源监测与仿真重点实验室基金资助项目(编号:KF-2022-07-014)
地质探测与评估教育部重点实验室主任基金资助项目(编号:GLAB2023ZR01)的成果。
关键词
地质知识模型
地质图件
知识图谱
决策知识
智能问答
Geological knowledge model
Geological artefacts
Knowledge graph
Decision-making knowledge
Intelligent Q&A
