Research on Model Reuse Technology Based on Semantic Matching and Composition

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

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.

Key words: semantic combination, combat system, model reuse, simulation scenario, semantic matching

CLC Number:

TP391.9

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.

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