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Wireless and Satellite Systems. 12th EAI International Conference, WiSATS 2021, Virtual Event, China, July 31 – August 2, 2021, Proceedings

Research Article

Construction of Knowledge Graph Based on Conventional Jamming Patterns

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  • @INPROCEEDINGS{10.1007/978-3-030-93398-2_9,
        author={Shaoqin Kou and Yintao Niu and Hui Zhang},
        title={Construction of Knowledge Graph Based on Conventional Jamming Patterns},
        proceedings={Wireless and Satellite Systems. 12th EAI International Conference, WiSATS 2021, Virtual Event, China, July 31 -- August 2, 2021, Proceedings},
        proceedings_a={WISATS},
        year={2022},
        month={1},
        keywords={Conventional jamming pattern Anti-jamming Knowledge graph},
        doi={10.1007/978-3-030-93398-2_9}
    }
    
  • Shaoqin Kou
    Yintao Niu
    Hui Zhang
    Year: 2022
    Construction of Knowledge Graph Based on Conventional Jamming Patterns
    WISATS
    Springer
    DOI: 10.1007/978-3-030-93398-2_9
Shaoqin Kou1, Yintao Niu1, Hui Zhang1
  • 1: National University of Defense Technology

Abstract

Construct a knowledge graph of anti-conventional jamming patterns based on the prior knowledge of conventional jamming patter, Firstly, adopt a manual extraction method to extract the prior information of the conventional jamming patterns and form a structured RDF data set; Then construct the anti-jamming knowledge graph pattern layer ontology from the bottom up and form the classification of anti-jamming decisions: Finally, use Java language to input the constructed data set and ontology classification into Neo4j to form an anti-jamming knowledge graph based on conventional jamming patterns. The result of the expansion of anti-jamming knowledge graph shows that the relationship between the entities of anti-jamming decision-making can be displayed directly by using the knowledge graph, which provides a basis for further implementation of low-complexity anti-jamming decision-making.

Keywords
Conventional jamming pattern Anti-jamming Knowledge graph
Published
2022-01-21
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-93398-2_9
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