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Modeling and Analysis of Combat System Confrontation Based on Large-Scale Knowledge Graph Network

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Data Mining and Big Data (DMBD 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1745))

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Abstract

Focusing on the confrontation analysis requirements of joint operation system of systems, this paper proposes an intelligent matching method of operational elements based on semantic features for typical large-scale combat system such as reconnaissance and fire strike, which can provide intelligent auxiliary support for rapid and dynamic reconfiguration of operational system of systems. On this basis, a general framework for system of systems confrontation modeling and combination analysis is built, which can support networked combat system mapping, flexible expansion of system of systems capabilities analysis, dynamic generation of systems knowledge graph and customization of system of systems. The framework provides quantitative evaluation of networked combat system capabilities, which can provide intelligent auxiliary support for commanders to rapidly build the combat system, dynamically analyze and accurately evaluate the confrontation effectiveness of the combat system.

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Acknowledgments

The paper is supported by Basic Theory Research Foundation of The Science and Technology Commission of the Central Military Commission.

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Correspondence to Rupeng Liang .

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Liang, R., Ying, L., Deng, K., Zhu, H., Ma, W., Zheng, S. (2022). Modeling and Analysis of Combat System Confrontation Based on Large-Scale Knowledge Graph Network. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2022. Communications in Computer and Information Science, vol 1745. Springer, Singapore. https://doi.org/10.1007/978-981-19-8991-9_28

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  • DOI: https://doi.org/10.1007/978-981-19-8991-9_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8990-2

  • Online ISBN: 978-981-19-8991-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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