黄雪萍, 邓敏, 吴静, 马杭英. 线面目标自然语言空间关系集成表达与描述方法研究[J]. 武汉大学学报 ( 信息科学版), 2013, 38(2): 230-234.
引用本文: 黄雪萍, 邓敏, 吴静, 马杭英. 线面目标自然语言空间关系集成表达与描述方法研究[J]. 武汉大学学报 ( 信息科学版), 2013, 38(2): 230-234.
HUANG Xueping, DENG Min, WU Jing, MA Hangying. Integrated Representation and Description of Natural-language Spatial Relations Between a Line and an Area[J]. Geomatics and Information Science of Wuhan University, 2013, 38(2): 230-234.
Citation: HUANG Xueping, DENG Min, WU Jing, MA Hangying. Integrated Representation and Description of Natural-language Spatial Relations Between a Line and an Area[J]. Geomatics and Information Science of Wuhan University, 2013, 38(2): 230-234.

线面目标自然语言空间关系集成表达与描述方法研究

Integrated Representation and Description of Natural-language Spatial Relations Between a Line and an Area

  • 摘要: 提出了一种基于自然语言的线/面目标空间关系集成表达方法。首先,将线目标进行细化分解得到n个特征点和n-1条特征线,根据自然语言的描述习惯分别针对每个特征点和特征线建立线与面目标之间的空间关系,然后按照自然语言以线目标的走向为顺序对线面间空间关系进行描述的规则,对拓扑、方向、度量关系进行集成描述。实验验证了本文方法的可行性。

     

    Abstract: It is difficult to express and distinguish complex location relationship information of two spatial objects through single topological relations,directional relations and distance relations.Using natural language as the description tool,the positional description of a line and an area is studied.We propose an integrated representation method of natural-language spatial relations between a line and an area according to the decomposition-combination measure.Firstly,n characteristic points and n-1 characteristic lines would be obtained from refining and decomposing the linear object,whose spatial relations with the areal objects could be built by contraposing each of the characteristic points and lines according to the descriptive habits of natural-language.Secondly,we integrate the description of the topological relations,directional relations and distance relations according to the rules of the describing of natural-language spatial relations between lines and regions in the sequence of the directions of the lineal object.Finally,comprehensive experiments are performed to demonstrate the feasibility and efficiency of the transformation between graphic spatial relations and natural-language spatial relations.

     

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