An adaptive representation model for geoscience knowledge graphs considering complex spatiotemporal features and relationships

作     者：Yunqiang ZHU Kai SUN Shu WANG Chenghu ZHOU Feng LU Hairong LV Qinjun QIU Xinbing WANG Yanmin QI 

作者机构：State Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjing 210023China Department of AutomationTsinghua UniversityBeijing 100084China School of Computer ScienceChina University of GeosciencesWuhan 430074China Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Computer ScienceUniversity of Nottingham Ningbo ChinaNingbo 315100China 

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

年 卷 期：2023年第66卷第11期

页      面：2563-2578页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 07[理学] 08[工学] 081104[工学-模式识别与智能系统] 0708[理学-地球物理学] 0705[理学-地理学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.42050101) the National Key Research and Development Program of China(Grant Nos.2022YFB3904200&2021YFB00903) supported by the International Big Science Program of Deeptime Digital Earth(DDE)。 

主　　题：Geoscience Knowledge graph Representation model Spatiotemporal features Spatiotemporal relationships 

摘      要：Geoscience knowledge graph(GKG)can organize various geoscience knowledge into a machine understandable and computable semantic network and is an effective way to organize geoscience knowledge and provide knowledge-related services.As a result,it has gained significant attention and become a frontier in geoscience.Geoscience knowledge is derived from many disciplines and has complex spatiotemporal features and relationships of multiple scales,granularities,and dimensions.Therefore,establishing a GKG representation model conforming to the characteristics of geoscience knowledge is the basis and premise for the construction and application of GKG.However,existing knowledge graph representation models leverage fixed tuples that are limited in fully representing complex spatiotemporal features and relationships.To address this issue,this paper first systematically analyzes the categorization and spatiotemporal features and relationships of geoscience knowledge.On this basis,an adaptive representation model for GKG is proposed by considering the complex spatiotemporal features and relationships.Under the constraint of a unified spatiotemporal ontology,this model adopts different tuples to adaptively represent different types of geoscience knowledge according to their spatiotemporal correlation.This model can efficiently represent geoscience knowledge,thereby avoiding the isolation of the spatiotemporal feature representation and improving the accuracy and efficiency of geoscience knowledge retrieval.It can further enable the alignment,transformation,computation,and reasoning of spatiotemporal information through a spatiotemporal ontology.