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YANG Song, NIU Wenlong, PENG Xiaodong, LI Siqi, LIU Jincheng, YANG Zhen. Knowledge Base Construction and Payload Configuration in the Field of Deep Space Exploration (in Chinese). Chinese Journal of Space Science, 2025, 45(3): 1-15 doi: 10.11728/cjss2025.03.2024-0054
Citation: YANG Song, NIU Wenlong, PENG Xiaodong, LI Siqi, LIU Jincheng, YANG Zhen. Knowledge Base Construction and Payload Configuration in the Field of Deep Space Exploration (in Chinese). Chinese Journal of Space Science, 2025, 45(3): 1-15 doi: 10.11728/cjss2025.03.2024-0054
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Knowledge Base Construction and Payload Configuration in the Field of Deep Space Exploration

doi: 10.11728/cjss2025.03.2024-0054 cstr: 32142.14.cjss.2024-0054
  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049

  • 3.

    Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024

  • Received Date: 2024-03-28
  • Accepted Date: 2025-04-28
  • Rev Recd Date: 2024-05-30
    • Available Online: 2024-07-08
    Abstract
  • A method is proposed to address the strategic needs of national mission planning and demonstration in the field of deep space exploration, focusing on challenges such as the diversity and complexity of missions, the large scale of data, and difficulties in direct data utilization. The construction of an ontology model for the deep space exploration domain is carried out using a hybrid approach that combines top-down and bottom-up methodologies. In the top-down process, domain knowledge is analyzed and expert input is incorporated to build the ontology model. On this basis, a bottom-up ontology updating strategy is introduced, leveraging N-gram analysis and text semantic clustering to dynamically update the ontology through semantic recognition and processing of textual data related to deep space exploration. Structured, semi-structured, and unstructured data are integrated to build a comprehensive knowledge base for the domain, comprising 2140 entity nodes, 4608 relationships, and 9079 attributes. Based on this knowledge base, a payload configuration method is proposed to recommend payloads that meet specific scientific goals. This is achieved through correlation analysis of scientific target data within the knowledge base, combining a knowledge extraction model with a semantic similarity model to synthesize exploration object information and historical payload data. The effectiveness of this approach is validated using the Tianwen-1 mission, demonstrating its capability in supporting payload planning, scientific target analysis, and mission configuration in the field of deep space exploration.

     

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    • References(25)
  • [1]
    吴伟仁, 于登云. 深空探测发展与未来关键技术[J]. 深空探测学报, 2014, 1(1): 5-17

    WU Weiren, YU Dengyun. Development of deep space exploration and its future key technologies[J]. Journal of Deep Space Exploration, 2014, 1(1): 5-17
    [2]
    吴伟仁, 王赤, 刘洋, 等. 深空探测之前沿科学问题探析[J]. 科学通报, 2023, 68(6): 606-627 doi: 10.1360/TB-2022-0667

    WU Weiren, WANG Chi, LIU Yang, et al. Frontier scientific questions in deep space exploration[J]. Chinese Science Bulletin, 2023, 68(6): 606-627 doi: 10.1360/TB-2022-0667
    [3]
    于登云, 马继楠. 中国深空探测进展与展望[J]. 前瞻科技, 2022, 1(1): 17-27 doi: 10.3981/j.issn.2097-0781.2022.01.002

    YU Dengyun, MA Ji’nan. Progress and prospect of deep space exploration in China[J]. Science and Technology Foresight, 2022, 1(1): 17-27 doi: 10.3981/j.issn.2097-0781.2022.01.002
    [4]
    NECHES R, FIKES R E, FININ T, et al. Enabling technology for knowledge sharing[J]. AI Magazine, 1991, 12(3): 36-56
    [5]
    刘继忠, 胡朝斌, 庞涪川, 等. 深空探测发展战略研究[J]. 中国科学: 技术科学, 2020, 50(9): 1126-1139 doi: 10.1360/SST-2020-0207

    LIU Jizhong, HU Chaobin, PANG Fuchuan, et al. Strategy of deep space exploration[J]. SCIENTIA SINICA Technologica, 2020, 50(9): 1126-1139 doi: 10.1360/SST-2020-0207
    [6]
    SUCHANEK F M, KASNECI G, WEIKUM G. Yago: a core of semantic knowledge[C]//Proceedings of the 16th International Conference on World Wide Web. Banff Alberta: ACM, 2007: 697-706
    [7]
    王裴岩, 张桂平, 蔡东风. 航空术语语义知识库ATHowNet的构建[J]. 中国科技术语, 2021, 23(3): 26-32 doi: 10.12339/j.issn.1673-8578.2021.03.004

    WANG Peiyan, ZHANG Guiping, CAI Dongfeng. Constructing of ATHowNet: a semantic knowledge base for aviation terms[J]. China Terminology, 2021, 23(3): 26-32 doi: 10.12339/j.issn.1673-8578.2021.03.004
    [8]
    赵其昌, 郭玲玲, 杨春燕, 等. 定量遥感有效载荷配置方法与发展[J]. 上海航天, 2022, 39(6): 125-134

    ZHAO Qichang, GUO Lingling, YANG Chunyan, et al. Payload allocation method of quantitative remote sensing and its development[J]. Aerospace Shanghai, 2022, 39(6): 125-134
    [9]
    SINT R, STROKA S, SCHAFFERT S, et al. Combining unstructured, fully structured and semi-structured information in semantic wikis[C]//Proceedings of the 4th Semantic Wiki Workshop (SemWiki) at the 6th European Semantic Web Conference. Hersonissos, Greece: Heraklion, 2009: 73-87
    [10]
    WACHE H, VÖGELE T, VISSER U, et al. Ontology-based integration of information-a survey of existing approaches[C]//Proceedings of the IJCAI-01 Workshop on Ontologies and Information Sharing. Seattle: CEUR-WS. org, 2001
    [11]
    WANG Y M, WANG X L, FENG Y Q, et al. Strategic response for ease of doing business using case-based reasoning[J]. Expert Systems with Applications, 2022, 210: 118514 doi: 10.1016/j.eswa.2022.118514
    [12]
    李爱华, 徐以则, 迟钰雪. 本体构建及应用综述[J]. 情报理论与实践, 2023, 46(11): 189-195

    LI Aihua, XU Yize, CHI Yuxue. Review of ontology construction and applications[J]. Information Studies: Theory & Application, 2023, 46(11): 189-195
    [13]
    葛胤池, 张辉, 宋文燕, 等. 基于领域本体的科技资源聚类方法研究[J]. 数据与计算发展前沿, 2020, 2(5): 13-22

    GE Yinchi, ZHANG Hui, SONG Wenyan, et al. Scientific and technology resource clustering based on domain ontology[J]. Frontiers of Data :Times New Roman;">& Computing, 2020, 2(5): 13-22
    [14]
    CAVNAR W B, TRENKLE J M. N-gram-based text categorization[C]//Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval. Las Vegas, 1994: 161-175
    [15]
    XIAO S T, LIU Z, ZHANG P T, et al. C-pack: Packaged resources to advance general Chinese embedding[OL]. arXiv preprint arXiv: 2309.07597, 2023
    [16]
    ARTHUR D, VASSILVITSKII S. k-means++: The advantages of careful seeding[C]//Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms. New Orleans: Society for Industrial and Applied Mathematics, 2007: 1027-1035
    [17]
    CUI M Y. Introduction to the k-means clustering algorithm based on the elbow method[J]. Accounting, Auditing and Finance, 2020, 1(1): 5-8
    [18]
    SHAHAPURE K R, NICHOLAS C. Cluster quality analysis using silhouette score[C]//2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). Sydney: IEEE, 2020: 747-748
    [19]
    KALMAN D. A singularly valuable decomposition: the SVD of a matrix[J]. The College Mathematics Journal, 1996, 27(1): 2-23 doi: 10.1080/07468342.1996.11973744
    [20]
    ZAMAN G, MAHDIN H, HUSSAIN K, et al. Information extraction from semi and unstructured data sources: A systematic literature review[J]. ICIC Express Letters, 2020, 14(6): 593-603
    [21]
    LU Y J, LIU Q, DAI D, et al. Unified structure generation for universal information extraction[C]//Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin: ACL, 2022
    [22]
    GOWDA T, YOU W Q, LIGNOS C, et al. Macro-average: rare types are important too[C]//Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. ACL, 2021
    [23]
    FENG F X Y, YANG Y F, CER D, et al. Language-agnostic BERT sentence embedding[C]//Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin: ACL, 2022
    [24]
    朱岩, 白云飞, 王连国, 等. 中国首次火星探测工程有效载荷总体设计[J]. 深空探测学报, 2017, 4(6): 510-514,534

    ZHU Yan, BAI Yunfei, WANG Lianguo, et al. Integral technical scheme of payloads system for Chinese mars-1 exploration[J]. Journal of Deep Space Exploration, 2017, 4(6): 510-514,534
    [25]
    李春来, 刘建军, 耿言, 等. 中国首次火星探测任务科学目标与有效载荷配置[J]. 深空探测学报, 2018, 5(5): 406-413

    LI Chunlai, LIU Jianjun, GENG Yan, et al. Scientific objectives and payload configuration of China's first mars exploration mission[J]. Journal of Deep Space Exploration, 2018, 5(5): 406-413
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