Construction and application of knowledge graph for national defense mobilization potential data

Baoyu Wang; Dexian Chang

doi:10.1117/12.3009453

16 October 2023 Construction and application of knowledge graph for national defense mobilization potential data

Baoyu Wang, Dexian Chang

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128033K (2023) https://doi.org/10.1117/12.3009453
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

In order to address the issues of various sources of national defense mobilization potential data with different structures and complex entities, resulting in difficulty in constructing data relationships and low efficiency in statistical management, this paper designs a knowledge graph framework for national defense mobilization potential data, which covers five levels: knowledge source, knowledge representation, knowledge extraction, knowledge fusion, and knowledge storage. In addition, typical application modes, comprising of potential data correlation search, intelligent question-and-answer assistance decision-making, and mobilization potential situation analysis as its core, have been sorted out to provide strong support for effectively enhancing the use efficiency of national defense dynamic potential data.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Baoyu Wang and Dexian Chang "Construction and application of knowledge graph for national defense mobilization potential data", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128033K (16 October 2023); https://doi.org/10.1117/12.3009453

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