Formalizing natural-language spatial relations between linear objects with topological and metric properties
文献类型:SCI/SSCI论文
作者 | Xu J. |
发表日期 | 2007 |
关键词 | spatial relations linear objects formalization topology geometric indices natural-language queries models |
英文摘要 | People usually use qualitative terms to express spatial relations, while current geographic information systems (GISs) all use quantitative approaches to store spatial information. The abilities of current GISs to represent and query spatial information about geographic space are limited. Based on the result of a human subject test of natural-language descriptions of spatial relations between linear geographic objects, this paper defines a series of quantitative indices that are related to natural-language spatial relation terms, and uses these indices to formalize the ambiguous natural-language representation with a decision-tree algorithm. The result indicates that using both topological indices and metric indices can formalize the natural-language spatial predicates better than using only topological indices. The rules extracted from the trees are used to characterize the spatial relations into qualitative description groups. Using these rules, a prototype of an intelligent natural-language interface for the ESRI software ArcGIS that can query spatial relations between two linear objects in natural English language is implemented using SNePS (the Semantic Network Processing System). |
出处 | International Journal of Geographical Information Science |
卷 | 21 |
期 | 4 |
页 | 377-395 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1365-8816 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/22715] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Xu J.. Formalizing natural-language spatial relations between linear objects with topological and metric properties. 2007. |
入库方式: OAI收割
来源:地理科学与资源研究所
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