摘要
对从互联网上抽取全球地理兴趣点进行研究,国内对以百度地图为基础的POI抽取方法进行探讨,国外对从Open Street Map数据中抽取POI数据进行了分析,分别针对这两类数据的POI抽取提出较为高效、准确的方法,确保提取的POI质量,实现了全球POI的快速在线抽取。
In this paper, we studied the method of extracting global POI from the Internet. We studied the POI extraction method based on Baidu map in China, and the POI extraction method from the Open Street Map in foreign. And then, the efficient and accurate methods of POI extraction respectively for two types of data were proposed, which ensured the quality of the extracted POI, and realized the fast and online extraction of the global POI.
引文
[1]陈瑞.基于多源POI数据匹配融合方法及研究[D].兰州:兰州大学,2014
[2]百度地图.百度地图JS开发文档[EB/OL].[2015-09-05],http://lbsyun.baidu.com/index.php?title=jspopular
[3]陈舒燕.基于Open Street Map的出行可达性分析与实现[D].上海:上海师范大学,2010
[4]Open Street Map.Open Street Map Stats Report[EB/OL].[2014-03-01],http://www.openstr-eetmap.org/stats/data_stats.html
[5]MAUER A.Open Street Map vs.Google/Tele Atlas Coverage Street[EB/OL].[2008-12-12],http://blog.dc.esri.com/2008/12/12/Openstreetmap-vs-Googleteleatlas-StreetCoverage/
[6]HAKLAY M,WERBER P.Open Street Map:User-Generated Street Maps[J].Pervasive Computing,2008,7(4):8-12
[7]Open Street Map.Map Features-Primary Features[EB/OL].[2015-10-30],http://wiki.openstreetmap.org/wiki/Map_Features#Primary_Features
[8]MORB Z.Osm Pois Pbf[EB/OL].[2015-10-30],https://github.com/Morb Z/Osm Pois Pbf