Knowledge graph for different platforms with radar: construction and application

Yue Li; Xinyue Hou; Chenyu Zhu; Yong Tian; Xiaoyan Peng

doi:10.1117/12.2634555

4 May 2022 Knowledge graph for different platforms with radar: construction and application

Yue Li, Xinyue Hou, Chenyu Zhu, Yong Tian, Xiaoyan Peng

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121721U (2022) https://doi.org/10.1117/12.2634555
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

At present, the analysis and identification of unknown targets mostly rely on manual labor, which can not make fast and accurate decisions for the current situation. As a knowledge representation method in the era of big data, knowledge graph has the capabilities of semantic processing, open interconnection, and logical combing. In this paper, we construct a knowledge graph of different platforms with radar through three main steps: data acquisition, knowledge extraction, and knowledge storage, and then propose a knowledge reasoning framework. Based on it, when faced with massive data, combined with the obtained related intelligence information, we can effectively analyze and identify the type of target platform, and then estimate the opponent’s actions and intentions, and assist us to make command decisions.

Citation Download Citation

Yue Li, Xinyue Hou, Chenyu Zhu, Yong Tian, and Xiaoyan Peng "Knowledge graph for different platforms with radar: construction and application", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121721U (4 May 2022); https://doi.org/10.1117/12.2634555

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