论文标题
将大规模领域知识与概念建模和模拟的上下文化
Contextualizing Large-Scale Domain Knowledge for Conceptual Modeling and Simulation
论文作者
论文摘要
我们提出了一种交互式建模工具Vera，该工具脚手架可以掌握涉及概念建模和基于代理的模拟的领域知识。我们描述了将大规模领域知识背景化的知识工程过程。具体而言，我们在全球生物相互作用中使用生物相互作用的本体，以及生命百科全书中物种的特征数据来促进模型构建。学习者可以使用Vera来构建生态现象的定性概念模型，将其作为定量模拟并审查其预测。
We present an interactive modeling tool, VERA, that scaffolds the acquisition of domain knowledge involved in conceptual modeling and agent-based simulations. We describe the knowledge engineering process of contextualizing large-scale domain knowledge. Specifically, we use the ontology of biotic interactions in Global Biotic Interactions, and the trait data of species in Encyclopedia of Life to facilitate the model construction. Learners can use VERA to construct qualitative conceptual models of ecological phenomena, run them as quantitative simulations, and review their predictions.
