Frontiers of Data and Computing ›› 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

• Special Issue: Fundamental Software Stack and Systems for National Scientific Data Centers • Previous Articles     Next Articles

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

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