农业模型组件主题图的生成方法

摘要

This paper analyzes the information organization requirement of agriculture model, presents a generation method of Topic Map(TM) for agriculture model components. By extracting meta-data information of model components, and using XML Topic Map(XTM) notation, the Attribute Meta Topic Maps(AMTM) document are generated. With the support of instantiation and reflection technology, it builds the Local Atomic Topic Map(LATM) documents for specific model component. By using the character matching algorithm of topic information, this paper contuses the Meta Topic Map(MTM) of same type models, and generates the Global Atomic Topic Map(GATM) documents for agriculture model components. By generating top maps for crop development stage model components, the effectiveness of this method is verified%分析农业模型的信息组织需求,提出一种农业模型组件主题图的生成方法,对模型组件的元数据信息进行XTM标注,形成属性. 元主题图.利用实例化和反射技术,生成具体模型组件的局部原子主题图.通过主题信息的字符匹配算法,融合同类模型的原子主题图,形成农业模型组件的全局原子主题图.以作物生育期模型组件的主题图为实例,验证了该方法的有效性.