Research on Model Reuse Technology Based on Semantic Matching and Composition

Authors

Xingyu Tian, 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;
Guangxun Zeng, 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;
Yunbo Gao, 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;
Lili Ye, 2. Beijing Aerospace Guanghua Blectronics Technologies Limited Corporation, Beijing 100048, China;
Guanghong Gong, 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;
Li Ni, 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;

Abstract

Abstract: In order to solve the data barriers between the conceptual model and the simulation scenario of the combat system, the intelligent mapping and model reuse technology of the simulation scenario is researched. The conceptual model is analyzed using DOM technology. Based on the ontology theory, the knowledge base of the combat domain is constructed and the web crawler is customized to build the domain thesaurus. Through the SWRL rule library, the reasoning engine is called to realize the relational reasoning at the semantic level. An intelligent matching algorithm is designed to map the semantic relationship to the combination relationship of the simulation model. The DOM technology is used to determine the target node and generate the executable scenario file of the simulation platform, which realizes the combination and reuse of the system simulation model. At the same time, based on the above process, a software platform for intelligent generation of the combat system simulation scenario is built.

Recommended Citation

Tian, Xingyu; Zeng, Guangxun; Gao, Yunbo; Ye, Lili; Gong, Guanghong; and Ni, Li (2022) "Research on Model Reuse Technology Based on Semantic Matching and Composition," Journal of System Simulation: Vol. 33: Iss. 12, Article 14.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0779
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss12/14

First Page

2901

Revised Date

2021-09-12

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0779

Last Page

2910

CLC

TP391.9

Recommended Citation

Tian Xingyu, Zeng Guangxun, Gao Yunbo, Ye Lili, Gong Guanghong, Li Ni. Research on Model Reuse Technology Based on Semantic Matching and Composition[J]. Journal of System Simulation, 2021, 33(12): 2901-2910.

Corresponding Author

Guanghong Gong,

DOI

10.16182/j.issn1004731x.joss.21-FZ0779