Question answering system based on military knowledge graph

Xinyue Hou; Chenyu Zhu; Yue Li; Peng Wang; Xiaoyan Peng

doi:10.1117/12.2634559

4 May 2022 Question answering system based on military knowledge graph

Xinyue Hou, Chenyu Zhu, Yue Li, Peng Wang, Xiaoyan Peng

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 1217207 (2022) https://doi.org/10.1117/12.2634559
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

In the field of military equipment knowledge, there are a large number of equipment models, weapon types, operating parameters and other time-frequency domain and airspace data information, which potentially contains a lot of valuable information. At present, in the face of these massive domain knowledge, combat related personnel cannot efficiently acquire the key knowledge, which means that they cannot provide effective guidance according to the potential key knowledge. In order to solve this problem, based on the investigation and analysis of the construction methods of the existing knowledge graph, this paper mined and extracted the knowledge of military equipment, instantiated and correlated different weapons and equipment, and constructed the knowledge graph of military equipment and question answering system. The construction of military equipment knowledge graph and question answering system can not only deeply study the key technical difficulties of domain graph, but also has strong strategic support significance for the development of related fields.

Citation Download Citation

Xinyue Hou, Chenyu Zhu, Yue Li, Peng Wang, and Xiaoyan Peng "Question answering system based on military knowledge graph", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 1217207 (4 May 2022); https://doi.org/10.1117/12.2634559

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