Integrated data-model-knowledge representation for natural resource entities

作     者：Yulin Ding Zhaowen Xu Qing Zhu Hankan Li Yan Luo Ying Bao Lingjun Tang Sen Zeng 

作者机构：Faculty of Geosciences and Environmental EngineeringSouthwest Jiaotong UniversityChengduPeople's Republic of China Municipal Planning & Land Estate Information CenterShenzhen Municipal Bureau of Planning and Natural ResourcesShenzhenPeople's Republic of China Information CenterDepartment of Natural Resources of Sichuan ProvinceChengduPeople's Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2022年第15卷第1期

页      面：653-678页

核心收录：

学科分类：08[工学] 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[Projects No.41871314,4187010232] the Program of the Department of Natural Resources of Sichuan Province[Grant Number KJ20206] 

主　　题：Natural resources data-model-knowledge interactional relationships 

摘      要：The unified management and planning of national or provincial natural resources distributed both aboveground and underground have become increasingly *** depictions of natural resource elements and their interactions are key to achieving integrated and systematic management of natural ***,current spatiotemporal data models are based only on data descriptions,attribute records,and other model knowledge of a more general basis,without intuitively describing relationships between these elements and natural *** paper,therefore,proposes an integrated data-model-knowledge representation model to explicitly describe the time,space,and interaction of natural resource entities through an integrated knowledge ***,this study constructs a conceptual model using the aspects of semantics,scale,and data-model-knowledge,thereby explicitly describing the relationships of natural ***,a logical model of natural resource representation is proposed,that is integrated with time,space,attributes,and ***,taking the management of water resources as an example,this paper realizes the meticulous presentation of the levels of detail and rich semantic relations of natural resource *** findings of this study lay the foundation for a more efficient,precise,and lucid perception of the distribution laws and complicated interactional relationships of natural resources,both aboveground and underground.