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高校地质学报 ›› 2023, Vol. 29 ›› Issue (3): 325-336.DOI: 10.16108/j.issn1006-7493.2023029

• 固体地球科学文本挖掘和知识图谱专栏 特邀主编:马 超 诸云强 闾海荣 胡修棉 •    下一篇

地球科学知识图谱一站式共享服务系统

诸云强1, 2*,代小亮1, 3,杨 杰1*,王 曙1,孙 凯1,邱芹军4,李威蓉1, 3,祁彦民5,胡 蕾1, 3,闾海荣6,王新兵7,周成虎1
  

  1. 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
  • 出版日期:2023-06-20 发布日期:2023-06-20

One-stop Sharing and Service System for Geoscience Knowledge Graph

ZHU Yunqiang1, 2*,DAI Xiaoliang1, 3,YANG Jie1*,WANG Shu1,SUN Kai1,QIU Qinjun4,LI Weirong1, 3,QI Yanmin5,HU Lei1, 3,LYU Hairong6,WANG Xinbing7,ZHOU Chenghu1#br#   

  1. 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. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. School of Computer Sciences, China University of Geosciences, Wuhan 430074, China;
    5. Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China;
    6. Department of Automation, Tsinghua University, Beijing 100084, China;
    7. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2023-06-20 Published:2023-06-20

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。

关键词: 地球科学, 知识图谱, 一站式, 集成共享, 服务系统

Abstract: 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.

Key words: geoscience, knowledge graph, one-stop, integrated sharing, service system

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