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 

机构地区：[1]State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [2]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China [3]Department of Automation,Tsinghua University,Beijing 100084,China [4]School of Computer Science,China University of Geosciences,Wuhan 430074,China [5]Department of Electronic Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [6]School of Computer Science,University of Nottingham Ningbo China,Ningbo 315100,China

出　　处：《Science China Earth Sciences》2023年第11期2563-2578,共16页中国科学（地球科学英文版）

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)。

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.

关 键 词：GEOSCIENCE Knowledge graph Representation model Spatiotemporal features Spatiotemporal relationships 

分 类 号：P3[天文地球—地球物理学] TP18[自动化与计算机技术—控制理论与控制工程]