排序方式: 共有2条查询结果,搜索用时 78 毫秒
1
1.
首先,从空间认知语言学的角度研究了空间关系自然语言描述中谓词、量词等的分类方法;然后,在分析空间查询语言特点的基础上建立了自然语言空间查询的4类句法模式;最后,设计了一个基于自然语言空间关系的空间查询系统框架,并进行了初步实现。 相似文献
2.
空间查询中自然语言空间关系与度量空间关系的转换方法研究:以面目标为例 总被引:1,自引:0,他引:1
以面目标为例,首先探讨度量空间关系的描述方法,即拓扑谓词+度量参数,建立拓扑谓词与度量参数之间的对应关系;然后从人的认知角度,分析空间关系的自然语言描述,即拓扑谓词+量词,区分模糊量词和临界量词两类量词,并分别用来描述邻近拓扑谓词相互转化过程中的定量变化和定性变化;最后,分析度量参数与量词之间的关联关系,试图建立空间查询中度量空间关系与自然语言空间关系之间的联系,从而更好地应用于空间查询.Abstract: Spatial relations between spatial entities can be obtained by two means. One is computed and obtained by spatial data, and the other is obtained by human spatial cognition. So, they are named as metric spatial relations and natural-language spatial relations, respectively. This paper is focused on filling the gap between these two kinds of spatial relations. For this purpose, regions are taken as example, and three steps are included. Metric spatial relations ore first depicted by combining topological predicates with metric parameters, where a mapping is built between the topological predicates and the metric parameters. Second, natural-language spatial relations are represented by combining topological predicates with quantifiers, where quantifiers are differentiated into two types:vague quantifiers and critical quantifiers. They are respectively used to describe quantitative and qualitative change in the process of the transformation between neighboring topological predicates. Finally, the association between metric parameters and quantifiers is further illustrated and analyzed by a questionnaire. With these three steps, the linkage can be built between metric spatial relations and natural-language spatial relations. The proposed methods have been proven to be rational by the performances of spatial query. 相似文献
1