中文摘要：

以领域信息系统为研究对象,探讨学习非分类关系的粒计算模型。通过信息函数的扩展,给出了领域信息系统的形式化描述;研究了领域信息系统的粒化方法和领域概念粒度空间生成;对不同领域概念粒度空间,通过分析粒间上下文,提出了基于不同领域概念粒度空间的概念粒间交叉关系学习模型。示例与测试表明所提出的模型有助于实现领域本体的非分类关系的获取。

英文摘要：

A granular computing model for non-taxonomic relation learning from a domain information system was proposed.Firstly,an information function was extended and a domain information system was described formally;Secondly,one method of hierarchy granulating with respect to the domain information system was proposed.The method could generate information granules of different Abstract degrees;According to different domain concept granular spaces and the context analysis between concept granules,an approach to acquiring cross relationship between concept granules was proposed.The proposed model could provide one feasible method and technology of ontology non-taxonomic relations learning.