Knowledge System,Ontology,and Knowledge Graph of the Deep-Time Digital Earth(DDE): Progress and Perspective  

作　　者：Xiumian Hu Yiwei Xu Xiaogang Ma Yunqiang Zhu Chao Ma Chao Li Hairong Lü Xinbing Wang Chenghu Zhou Chengshan Wang 

机构地区：[1]School of Earth Sciences and Engineering,Nanjing University,Nanjing 210023,China [2]State Key Laboratory of Palaeobiology and Stratigraphy,Nanjing Institute of Geology and Palaeontology and Center for Excellence in Life and Paleoenvironment,Chinese Academy of Sciences,Nanjing 210008,China [3]Department of Computer Science,University of Idaho,Moscow ID 83844,USA [4]Institute of Geographical Science and Natural Resources,Chinese Academy of Sciences,Beijing 100101,China [5]State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation&Institute of Sedimentary Geology&College of Computer Science and Cyber Security,Chengdu University of Technology,Chengdu 610059,China [6]IUGS Deep-Time Digital Earth Research Center of Excellence,Suzhou 215101,China [7]Department of Automation,Tsinghua University,Beijing 100084,China [8]School of Electronic,Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [9]State Key Laboratory of Biogeology and Environmental Geology,China University of Geosciences,Beijing 100083,China

出　　处：《Journal of Earth Science》2023年第5期1323-1327,共5页地球科学学刊（英文版）

基　　金：financially supported by the National Natural Science Foundation of China (Nos.42050102,42050101)。

摘　　要：THE USE OF KNOWLEDGE GRAPH IN NATURAL SCIENCE Knowledge graph is a field of Artificial Intelligence(AI)that aims to represent knowledge in the form of graphs,consisting of nodes and edges which represent entities and relationships between nodes respectively(Aidan et al.,2022).Although the knowledge graph was popularized recently due to use of this idea in Google’s search engine in 2012(Amit,2012),its root can be traced back to the emergence of the Semantic Web as well as earlier works in ontology(Aggarwal,2021).

关 键 词：DDE Google Web SEMANTIC 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] P3-39[自动化与计算机技术—控制科学与工程]