语义因子支持的多源POI分类信息一致化处理
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摘要
为了解决网络POI分类异构导致多源POI数据匹配与整合困难的问题,该文利用分类特征词提取、特征词去重与优化等关键技术,构建POI分类的语义概念格,然后通过概念格之间的语义关联关系,实现多源异构POI分类体系的映射与转换。最后通过实验验证了该文方法的有效性,并将其成功应用于省级地理信息公共服务平台(政务版)数据更新。
In order to solve the heterogeneous problem of multi-source points of interest(POI)data matching and integration caused by heterogeneous classification of network POI,key techniques such as classification feature word extraction,feature word deduplication and optimization were proposed to construct the semantic concept lattice of points of interest classification.Then through the semantic association between concept lattices,the mapping and transformation of multi-source heterogeneous points of interest classification system was realized.Finally,the effectiveness of the proposed method was verified by experiments,and it was successfully applied to the provincial geographic information public service platform(government version)data update.
In order to solve the heterogeneous problem of multi-source points of interest(POI)data matching and integration caused by heterogeneous classification of network POI,key techniques such as classification feature word extraction,feature word deduplication and optimization were proposed to construct the semantic concept lattice of points of interest classification.Then through the semantic association between concept lattices,the mapping and transformation of multi-source heterogeneous points of interest classification system was realized.Finally,the effectiveness of the proposed method was verified by experiments,and it was successfully applied to the provincial geographic information public service platform(government version)data update.
引文
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[15]刘伟,孟小峰,孟卫一.Deep Web数据集成研究综述[J].计算机学报,2007,30(9):1475-1489.(LIU Wei,MENG Xiaofeng,MENG Weiyi.A survey of Deep Web data integration[J].Chinese Journal of Computer,2007,30(9):1475-1489.)
[2]陈万志,刘纪平,王勇.互联网地理信息安全监管平台架构研究[J].测绘通报,2011(8):73-75,80.(CHENWanzhi,LIU Jiping,WANG Yong.Research on supervision platform of internet geographic information security[J].Bulletin of Surveying and Mapping,2011(8):73-75,80.)
[3]陈豪,张万昌,邓财,等.面向灾害管理的自发地理信息研究及应用[J].测绘科学,2018,43(1):59-65.(CHEN Hao,ZHANG Wanchang,DENG Cai,et al.Research and application on volunteered geographic information for disaster management[J].Science of Surveying and Mapping,2018,43(1):59-65.)
[4]宗乾进.社会化媒体在地震灾害中的应用:一个国外研究文献的综述[J].情报杂志,2014,33(9):83-88.(ZONG Qianjin.The use of social media in earthquake disaster:an overview[J].Journal of Intelligence,2014,33(9):83-88.)
[5]李卫江,温家洪.基于Web文本的灾害信息挖掘研究进展[J].灾害学,2010,25(2):119-123,128.(LI Weijiang,WEN Jiahong.Development in disaster information extraction from Web pages[J].Journal of Catasirophology,2010,25(2):119-123,128.)
[6]张敏.多源矢量地图数据的集成与融合[D].哈尔滨:哈尔滨工程大学,2011.(ZHANG Min.Integration and fusion of multi-source vector map data[D].Harbin:Harbin Engineering University,2011.)
[7]李军利,何宗宜,朱乔利,等.一种粒化理论的地理本体融合方法[J].武汉大学学报(信息科学版),2013,38(4):489-492,497.(LI Junli,HE Zongyi,ZHU Qiaoli,et al.Construction of business ontology and workflow model for land consolidation projects management[J].Geomatics and Information Science of Wuhan University,2013,38(4):489-492,497.)
[8]李一,刘纪平,罗安.深度学习的中文地址切分算法[J].测绘科学,2018,43(10):107-111.(LI Yi,LIUJiping,LUO An.Chinese address segmentation algorithm based on depth learning[J].Science of Surveying and Mapping,2018,43(10):107-111.)
[9]张春菊,张雪英,吉蕾静,等.地名通名与地理要素类型的关系映射[J].武汉大学学报(信息科学版),2011,36(7):857-860.(ZHANG Chunju,ZHANG Xueying,JI Leijing,et al.Relation mapping between generic terms of place names and geographical feature types[J].Geomatics and Information Science of Wuhan University,2011,36(7):857-860.)
[10]张雪英,闾国年.基于语义的地理信息分类体系对比分析[J].遥感学报,2008,12(1):9-14.(ZHANG Xueying,LYU Guonian.Comparison analysis on semanticbased geographic classification schemes[J].Journal of Remote Sensing,2008,12(1):9-14.)
[11]李霖,朱海红,王红,等.基于形式本体的基础地理信息语义分析:以陆地水系要素类为例[J].测绘学报,2008,37(2):230-235,242.(LI Lin,ZHU Haihong,WANG Hong,et al.Semantic analyses of the fundamental geographic information based on formal ontology:exemplifying hydrological category[J].Acta Geodaetica et Cartographica Sinica,2008,37(2):230-235,242.)
[12]李军,李琦,毛东军,等.北京市地理编码数据库的研究[J].计算机工程与应用,2004(2):1-3,6.(LI Jun,LIQi,MAO Dongjun,et al.Research on Beijing geocoding database[J].Computer Engineering and Applications,2004(2):1-3,6.)
[13]易茹兰,徐枫,邓敏,等.利用形式概念分析的海岛语义层次分类方法[J].武汉大学学报(信息科学版),2012,37(8):897-901.(YI Rulan,XU Feng,DENGMin,et al.An approach for hierarchical semantic classification of islands based on formal concept analysis[J].Geomatics and Information Science of Wuhan University,2012,37(8):897-901.)
[14]王艳东,何奕霖,杨建思,等.利用形式概念分析的空间信息服务分类体系融合方法[J].武汉大学学报(信息科学版),2014,39(1):100-105.(WANG Yandong,HE Yilin,YANG Jiansi,et al.Integration method of geospatial services taxonomies based on formal concept analysis[J].Geomatics and Information Science of Wuhan University,2014,39(1):100-105.)
[15]刘伟,孟小峰,孟卫一.Deep Web数据集成研究综述[J].计算机学报,2007,30(9):1475-1489.(LIU Wei,MENG Xiaofeng,MENG Weiyi.A survey of Deep Web data integration[J].Chinese Journal of Computer,2007,30(9):1475-1489.)