地球科学知识图谱一站式共享服务系统  

One-stop Sharing and Service System for Geoscience Knowledge Graph

作　　者：诸云强[1,2] 代小亮 杨杰 王曙 孙凯 邱芹军[4] 李威蓉 祁彦民 胡蕾 闾海荣 王新兵 周成虎[1] ZHU Yunqiang;DAI Xiaoliang;YANG Jie;WANG Shu;SUN Kai;QIU Qinjun;LI Weirong;QI Yanmin;HU Lei;LYU Hairong;WANG Xinbing;ZHOU Chenghu(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Computer Sciences,China University of Geosciences,Wuhan 430074,China;Faculty of Science and Engineering,University of Nottingham Ningbo China,Ningbo 315100,China;Department of Automation,Tsinghua University,Beijing 100084,China;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101 [2]江苏省地理信息协同创新中心,南京210023 [3]中国科学院大学,北京100049 [4]中国地质大学(武汉)计算机学院,武汉430074 [5]宁波诺丁汉大学理工学院,宁波315100 [6]清华大学自动化系,北京100084 [7]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《高校地质学报》2023年第3期325-336,共12页Geological Journal of China Universities

基　　金：国家自然科学基金项目(42050101);国家重点研发计划项目(2022YFB3904200)联合资助。

摘　　要：知识图谱作为当前最有效的知识组织和服务方式,已经成为人工智能的基石,在语义搜索、机器翻译、信息推荐等方面得到了广泛的应用。大数据时代下,地球科学(以下简称地学)分散、多源、异构数据的整合集成、挖掘分析及其知识的智能发现等迫切需要知识图谱的支撑。为了促进地学知识图谱的建设与应用,自2019年启动以来,“深时数字地球国际大科学计划”(Deep-time Digital Earth,简称DDE)就将知识图谱作为其重要的研究建设内容,经过3年多的建设,DDE已经建设形成了大量的地学知识图谱,亟需一站式共享这些知识图谱。文章首先介绍了DDE知识图谱内容体系,分析了DDE知识图谱内容组成及其特征;在此基础上,开展了地学知识图谱一站式共享服务系统的设计,包括系统功能体系和架构的设计;最后介绍了系统实现的技术路线及其关键技术。实践证明系统可有效实现DDE知识图谱的一站式共享服务,可为类似的知识共享服务系统提供参考。As the most effective way of knowledge organization and service at present,knowledge graph has become the cornerstone of artificial intelligence and has been widely used in semantic search,machine translation,information recommendation and so on.In the era of big data,there is an urgent need of Geoscience knowledge graphs for integrating,mining and analysis of scattered,multi-source and heterogeneous Geo-data and its unknown knowledge intelligent discovery.To promote the construction and application of Geoscience knowledge graphs,the Deep-time Digital Earth(DDE)International Big Science Program has taken knowledge graph as its one of the core research contents since its launch in 2019.After more than three years of construction,DDE has built a large number of Geoscience knowledge graphs,and it strong needs one-stop sharing and service system of these knowledge graphs.Firstly,this paper introduces the content framework,composition as well as characteristics of the DDE knowledge graphs.On this basis,the design of the one-stop sharing and service system for the Geoscience knowledge graph is designed that include the design of the system functional and technical architecture.Finally,the development and operation environment&tools,and key technologies of the system are discussed in detail.The practice has proved that the system can effectively realize the one-stop sharing and open access of DDE knowledge graphs.Meanwhile,it sets an example for other fields or domains’knowledge graph integrating and sharing systems.

关 键 词：地球科学 知识图谱 一站式 集成共享 服务系统 

分 类 号：P628.4[天文地球—地质矿产勘探]