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Geoscience knowledge graph in the big data era

Geoscience knowledge graph in the big data era

作     者:Chenghu ZHOU Hua WANG Chengshan WANG Zengqian HOU Zhiming ZHENG Shuzhong SHEN Qiuming CHENG Zhiqiang FENG Xinbing WANG Hairong LV Junxuan FAN Xiumian HU Mingcai HOU Yunqiang ZHU Chenghu ZHOU;Hua WANG;Chengshan WANG;Zengqian HOU;Zhiming ZHENG;Shuzhong SHEN;Qiuming CHENG;Zhiqiang FENG;Xinbing WANG;Hairong LV;Junxuan FAN;Xiumian HU;Mingcai HOU;Yunqiang ZHU

作者机构:State Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of SciencesBeijing 100049China School of Earth Sciences and ResourcesChina University of Geosciences(Beijing)Beijing 100083China Key Laboratory of Deep-Earth Dynamics of Ministry of Natural ResourcesInstitute of GeologyChinese Academy of Geological SciencesBeijing 100037China Institute of Artificial IntelligenceBeihang UniversityBeijing 100191China State Key Laboratory for Mineral Deposits ResearchSchool of Earth Sciences and EngineeringNanjing UniversityNanjing 210023China Sinopec Petroleum Exploration&Production Research InstituteBeijing 100083China School of ElectronicInformation and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of AutomationTsinghua UniversityBeijing 100084China Institute of Sedimentary GeologyChengdu University of TechnologyChengdu 610059China 

出 版 物:《Science China Earth Sciences》 (中国科学(地球科学英文版))

年 卷 期:2021年第64卷第7期

页      面:1105-1114页

核心收录:

学科分类:1205[管理学-图书情报与档案管理] 12[管理学] 07[理学] 0708[理学-地球物理学] 120502[管理学-情报学] 

基  金:supported by the National Natural Science Foundation of China(Grant Nos.41421001 42050101 and 42050105) 

主  题:Geoscience knowledge graph All-domain geoscience knowledge representation model Federated crowd intelligence collaboration High-precision geological time scale 

摘      要:Since the beginning of the 21 st century,the geoscience research has been entering a significant transitional period with the establishment of a new knowledge system as the core and with the drive of big data as the *** is a revolutionary leap in the research of geoscience knowledge discovery from the traditional encyclopedic discipline knowledge system to the computer-understandable and operable knowledge *** on adopting the graph pattern of general knowledge representation,the geoscience knowledge graph expands the unique spatiotemporal features to the Geoscience knowledge,and integrates geoscience knowledge elements,such as map,text,and number,to establish an all-domain geoscience knowledge representation model.A federated,crowd intelligence-based collaborative method of constructing the geoscience knowledge graph is developed here,which realizes the construction of high-quality professional knowledge graph in collaboration with global *** also develop a method for constructing a dynamic knowledge graph of multi-modal geoscience data based on in-depth text analysis,which extracts geoscience knowledge from massive geoscience literature to construct the latest and most complete dynamic geoscience knowledge graph.A comprehensive and systematic geoscience knowledge graph can not only deepen the existing geoscience big data analysis,but also advance the construction of the high-precision geological time scale driven by big data,the compilation of intelligent maps driven by rules and data,and the geoscience knowledge evolution and reasoning analysis,among *** will further expand the new directions of geoscience research driven by both data and knowledge,break new ground where geoscience,information science,and data science converge,realize the original innovation of the geoscience research and achieve major theoretical breakthroughs in the spatiotemporal big data research.

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