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| Visualizing Knowledge Graph for Explosive Formula Design |
Zhou Yang1,Li Xuejun1,Wang Donglei2,Chen Fang3,Peng Lijuan1( ) |
1School of Computer Science and Technology, Southwest University of Science and Technology University, Mianyang 621010, China
2Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang 621900, China
3Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, China |
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Abstract [Objective] This paper tries to obtain and use the knowledge of formula design principle, component correlation and preparation technology, aiming to improve the process of explosive design. [Context] Our study organizes the scattered and complex knowledge for explosive formula design and visualizes design process for researchers. [Objective] We took the formulation of polymer bonded explosive as an example and built the knowledge graph of explosive formula with NLP technology. Then, we designed different visual analysis methods for each topic's knowledge graph. [Results] The new knowledge graph presented the related expression of structured and unstructured knowledge for researchers. We examined effectiveness of the proposed method with formulation of polymer bonded explosive, and found it helped researchers obtain the required formula design knowledge effectively. [Conclusions] This study offers practical solutions for researchers to use the knowledge of explosive formula design.
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Received: 12 April 2021
Published: 15 October 2021
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| Fund:*National Defense Basic Scientific Research Project(JCKY2017404C004) |
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Corresponding Authors:
Peng Lijuan
E-mail: qiluo@126.com
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