Research on automatic information extraction and combination based on semantic association analysis

Hongtao Lu; Pengfei Zhao; Zhan Deng; Chunbao Pu; Liang Ma

doi:10.1117/12.2686056

15 August 2023 Research on automatic information extraction and combination based on semantic association analysis

Hongtao Lu, Pengfei Zhao, Zhan Deng, Chunbao Pu, Liang Ma

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127193E (2023) https://doi.org/10.1117/12.2686056
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

The technology of automatic intelligence extraction and combination is the key to obtain the high quality military intelligence content that matches the specific mission requirements and the user's concern. Under the background of diversified command levels and force composition, cross-level and cross-category combat users can conduct timely and intuitive intelligence interaction anytime and anywhere. In order to achieve accurate acquisition of military intelligence and efficient interaction between different users, the automatic information extraction and combination technology based on semantic association analysis firstly summarizes the core attributes of combat tasks, user types and combat intelligence, and then models the correlation relationship according to the level of “combat mission-user-combat intelligence”. The dynamic correlation is established between a large number of multi-channel heterogeneous intelligence and the intelligence requirements of operational users facing different tasks. Secondly, based on the semantic association analysis method, data mining tools and data mining algorithms are selected to extract and analyze massive information and improve the depth of military intelligence analysis. Finally, based on the evidence theory model of multi-source intelligence combination, the information automatic combination tool is used to combine the extracted information, and according to the target characteristics, the information with dependence, sequence and similarity relationship is associated together to conduct intelligence association and intelligence clustering, so as to provide the complete information related to the task required for the user's decision.

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Hongtao Lu, Pengfei Zhao, Zhan Deng, Chunbao Pu, and Liang Ma "Research on automatic information extraction and combination based on semantic association analysis", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127193E (15 August 2023); https://doi.org/10.1117/12.2686056

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KEYWORDS

Analytical research

Modeling

Data modeling

Military intelligence

Data mining

Design and modelling

Systems modeling

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