基于Jena引擎的湿地食物链语义模拟研究

Study on Semantic Simulation of Wetland Food Chain Based on Jena Engine

湿地生态系统生物种类繁多,内部食物链关系复杂。为模拟食物链循环过程,构建了基于种族关系的本体模型,依靠Jena引擎与语义网规则语言(semantic web rule language,SWRL)技术实现了语义数据的高效存储和查询。同时,以真实池塘样本数据为例,借助Java swing和超文本标记语言(hyper text markup language,HTML)技术完成对模拟结果的可视化展示,从稳态和非稳态两方面完善生态系统食物链的建模与仿真,从而实现模拟过程的动态化与定量化。

The wetland ecosystem has a wide variety of organisms,and the internal food chain is complicated.In order to simulate the wetland food chain cycle process,this paper proposes an ontology model based on race relations,and achieves efficient storage and query of semantic data by relying on Jena engine and semantic web rule language technology.At the same time,taking real pond sample data as an example,with the help of Java swing and hyper text markup language to complete the visualization of simulation results,the research improves the modeling and simulation of the wetland food chain of the ecosystem from both the steady state and the unsteady state,and achieves dynamic and quantitative simulation process.