Schema Integration of heterogeneous geospatial database

摘要：

The integration of heterogeneous geospatial data offers possibilities to manually and automatically derive new information,which are not available when using only a single data source.This paper presents a three-level schema integration architecture which consists of local schemas,mapped schemas,and a global schema,for global heterogeneous geospatial systems.we describe a machine-learning based approach for GIS schema matching.Our approach extends existing machine-learning approaches for (traditional) data mapping but departs from them due to the nature of geographic data.Our solution reduces the complex mappings by identifying different values of a determining property.

作者: Su, Kehua Zhu, Xinyan Kong，Fanmin

作者单位: State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan Univer Computer and information college,Yang-En University,FuJian,China 362014

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）