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Knowledge Graph Construction for Foreign Military Unmanned Systems

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CCKS 2022 - Evaluation Track (CCKS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1711))

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Abstract

Unmanned systems have become a significant component of modern military forces and play a more and more important role in various military operations. It mainly consists of four major domains which are unmanned aerial system (UAS), unmanned ground vehicle (UGV), unmanned underwater vehicle (UUV), and unmanned surface vessel (USV). This paper focuses on the construction of a high-quality knowledge graph on foreign unmanned systems and proposes an effective method to complete the construction. The method first analyses the data provided by CCKS2022 evaluation organizers and builds a schema. Then not only data provided are used to construct the knowledge graph but also external data are crawled and extracted as triples under constraints of the schema. After that, entities are aligned and logic rules are also utilized to knowledge graph completion. Finally, the knowledge graph constructed is stored and visualized in the Neo4j database and evaluated by the question-answering tasks. This paper presents our technics for the 13th task of CCKS2022 evaluation (i.e. knowledge graph construction and evaluation on foreign military unmanned systems) and our team win the 3rd place in this task.

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Acknowledgement

This work is supported by the NSFC (Grant No. 62006040), the Project for the Doctor of Entrepreneurship and Innovation in Jiangsu Province (Grant No. JSSCBS20210126), the Fundamental Research Funds for the Central Universities, and ZhiShan Young Scholar Program of Southeast University.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Southeast University, Nanjing, China

    Yilin Chen, Jingting Wang, Shutong Zhu, Yuang Gu, Haoyu Dai, Jingyi Xu, Yipeng Zhu & Tianxing Wu

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  1. Yilin Chen
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  2. Jingting Wang
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  3. Shutong Zhu
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  4. Yuang Gu
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  5. Haoyu Dai
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  6. Jingyi Xu
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  7. Yipeng Zhu
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  8. Tianxing Wu
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Corresponding author

Correspondence to Tianxing Wu .

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Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Ningyu Zhang

  2. Southeast University, Nanjing, China

    Meng Wang

  3. Southeast University, Nanjing, China

    Tianxing Wu

  4. Nanjing University, Nanjing, China

    Wei Hu

  5. National University of Singapore, Singapore, Singapore

    Shumin Deng

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Chen, Y. et al. (2022). Knowledge Graph Construction for Foreign Military Unmanned Systems. In: Zhang, N., Wang, M., Wu, T., Hu, W., Deng, S. (eds) CCKS 2022 - Evaluation Track. CCKS 2022. Communications in Computer and Information Science, vol 1711. Springer, Singapore. https://doi.org/10.1007/978-981-19-8300-9_14

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  • DOI: https://doi.org/10.1007/978-981-19-8300-9_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8299-6

  • Online ISBN: 978-981-19-8300-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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