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《Geomatics World》 2016-06
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Delimitating the Vague Place Name Bound Using Multiple-Sources Points of Interest

HUANG Xiaoying;LI Lin;YAN Fen;School of Resource and Environmental Science, Wuhan University;Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University;  
The process of cognizing and conceptualizing the world suffers from vagueness, therefore vernacular place names used in daily life may not correspond to an formal designated region or place. Nowadays, the applications of Big Data supply the new chances for delimitating vague place name. This paper presents a method for defining the boundaries of vague place name using multi-source points of interest, which combines kth nearest neighbor outlier detection algorithm and Gaussian mixture model. With low sensitivity of parameters, the method effectively eliminates POIs that may not lie in the range of the place names. Finally, it is discussed that the results are effected by multi-sources data.
【Key Words】: vague place name spatial cognition outlier detection POI
【Fund】: 基础地理信息本体库开发关键技术及示范(201412014);; 国家测绘地理信息局基金项目5号公告 [2014];; 武汉市“黄鹤英才(科技)计划”项目(武人才办[2014]1号)资助
【CateGory Index】: P281;P208
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