Spatial reasoning is a hot spot of artificial intelligence areas, and diffusely applied in areas such as geo-graphical information systems, robotic, high level vision, apprehends of natural languages, engineering design, andcommonsense reasoning about physical situations. This paper summarizes and discusses the represent ation of geometryof spatial objects roundly.
在开放动态多Agent网络环境中,不同平台下的移动Agent希望就某个领域的问题进行通信,就需要避免出现逻辑意外现象,也就是必须使描述这一领域的术语取得一致.给出一个具有协作性和社会性的通信方法LOSCM(layer ontology services communication model).LOSCM具有以下特点:1)A-gent通信实体中包含的概念采用本体方法进行描述,对本体作分层松散的社会性管理.2)假设本体不隶属于公共数据源且相互之间也没有公共本体,LOSCM给出一种基于概念替代遗失度和概念间替代相关度的有效的分层树状转换方法,有效避免了逻辑意外,确保了通信实体概念的正确理解,解决了在概念转换时的一致性问题.
This paper first discusses some possible applications of qualitative spatial reasoning, then surveys the mainaspects of the representation of qualitative spatial knowledge including ontology, topology distance, orientation andshape.
