数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (4): 139-149.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.04.012

doi: 10.11871/jfdc.issn.2096-742X.2024.04.012

• 专刊：面向国家科学数据中心的基础软件栈及系统 • 上一篇    下一篇

对地观测卫星知识图谱的构建与应用

陈枫1(),蔡匡盛2,*(),陈祖刚3,4,李国庆4,李静4,张连翀4,杨腾飞4   

  1. 1.郑州大学，地球科学科学与技术学院，河南 郑州 450000
    2.郑州大学，计算机与人工智能学院，河南 郑州 450000
    3.海南省地球观测重点实验室，海南空天信息研究院，海南 三亚 572000
    4.中国科学院空天信息创新研究院，北京 100094
  • 收稿日期:2024-02-05 出版日期:2024-08-20 发布日期:2024-08-20
  • 通讯作者: *蔡匡盛（E-mail: caikuangsheng@126.com）
  • 作者简介:陈枫，郑州大学地球科学与技术学院，硕士研究生，主要研究方向为知识图谱。
    本文中负责论文初稿撰写。
    CHEN Feng is a graduate student of School of Earth Science and Technology, Zhengzhou University. His main research interests include knowledge graphs.
    In this paper, he is responsible for writing the first draft of the paper.
    E-mail: zzucf123@gs.zzu.edu.cn|蔡匡盛，郑州大学计算机与人工智能学院，硕士研究生，研究方向为知识编码、高性能计算。
    本文中负责论文的整体框架。
    CAI Kuangsheng is a graduate student of the School of Computer and Artificial Intelligence, Zhengzhou University. His main research interests include knowledge coding and high performance computing.
    In this paper, he is responsible for the overall framework of the paper.
    E-mail: caikuangsheng@126.com
  • 基金资助:
    海南省自然科学基金青年基金项目“基于元数据的地理空间相似数据精准推荐方法研究”(622QN352);国家重点研发计划“国家对地观测科学数据中心融合服务示范”(2021YFF070420304)

Construction and Application of the Earth Observation Satellite Knowledge Graph

CHEN Feng1(),CAI Kuangsheng2,*(),CHEN Zugang3,4,LI Guoqing4,LI Jing4,ZHANG Lianchong4,YANG Tengfei4   

  1. 1. School of Geo-Science & Technology, Zhengzhou University, Zhengzhou, Henan 450000, China
    2. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan 450000, China
    3. Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, Hainan 572000, China
    4. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • Received:2024-02-05 Online:2024-08-20 Published:2024-08-20

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摘要：

【目的】 为厘清对地观测卫星、平台、仪器、传感器、相关参数之间的关系，为相关数据智能查询和知识推理提供知识基础，提出构建对地观测卫星知识图谱。【方法】 本研究通过自顶向下与自底向上相结合的知识图谱构建技术，使用自然语言处理和人工审核的方法进行卫星数据的提取、融合和质量评估，构建对地观测卫星知识图谱。【结果】 总结了知识图谱的逻辑架构和技术架构，梳理了对地观测卫星知识图谱的构建流程，最终构建了包含8种实体、9种关系和33种属性的对地观测卫星知识图谱。【结论】 凭借对地观测卫星知识图谱结构化视图和智能查询的功能为卫星数据管理提供了新的解决方案，将在未来促进地球科学研究和社会服务中取得更广泛的成果。

关键词: 对地观测卫星, 知识本体, 知识图谱

Abstract:

[Objective] To clarify the relationships among earth observation satellites, platforms, instruments, sensors, and associated parameters, and to provide a knowledge foundation for intelligent querying of relevant data and knowledge inference, we propose to construct an earth observation satellite knowledge graph. [Methods] Employing a combination of top-down and bottom-up knowledge graph construction techniques, this research utilizes natural language processing and manual verification to extract, integrate, and assess the quality of satellite data, ultimately constructing an earth observation satellite knowledge graph. [Results] The logical and technical architecture of the knowledge graph is summarized, and the construction process of the earth observation satellite knowledge graph is delineated. The final knowledge graph includes 8 types of entities, 9 types of relationships, and 33 types of attributes. [Conclusions] The structured view and intelligent querying features of the constructed an earth observation satellite knowledge graph provide novel solutions for satellite data management. This advancement is poised to foster broader achievements in earth science research and societal services in the future.

Key words: earth observation satellite, knowledge ontology, knowledge graph