基于本体的HLA对象模型生成方法

Method of Generating HLA Object Model Based on Ontology

针对当前基于HLA的大规模仿真系统开发过程中开发效率低下和模型重用困难等问题,提出了一种基于本体的HLA对象模型(OM)生成方法。该方法借鉴HLA联邦开发和执行过程模型(FEDEP)思想,将整个过程分为本体集成和HLA对象模型生成两个阶段。本体集成阶段一方面,通过重用各仿真模型对应的领域本体生成共享本体,既实现了仿真联邦的语义一致,又提高了模型的重用度;另一方面,根据具体的仿真目标,在共享本体的基础上动态生成与仿真任务对应的任务本体。HLA对象模型生成阶段分别将参与仿真的仿真模型对应的领域本体和任务本体映射为HLA对象模型(FOM/SOM),实现了FOM/SOM的自动生成,提高了模型开发效率。最后,通过实例验证了该方法的可行性和有效性。

Aiming at the inefficiencies and model reuse difficult in the development process of current large-scale simulation system based on HLA, a method of HLA object model （OM） generation was proposed based on ontology. This method used the idea of HLA federation development and execution process model （FEDEP）, and the whole process was divided into two stages： ontology fusion and generating HLA object model. In the Ontology fusion, on the one hand, the simulation model generated a shared ontology by reusing the corresponding ontology, not only the semantic consistency of simulation was ensured, but also improved the reusability of the model degree. On the other hand, according to the specific goal of the simulation, the corresponding tasks ontology was generated dynamically on the basis of shared ontology. In the HLA object model generation, domain ontology corresponding simulation model and task ontology were mapped to HLA Object Model （FOM / SOM）, to generate FOM / SOM automatically and improve the efficiency of model development. Finally, a case was provided to demonstrate the effectiveness and feasibility of the way.