Identical entity matching from multi-source spatial data

Authors:
Liu Hai-yan;Liu Xin-gui;Liu Chen-fan
Affiliations:
Zhengzhou Institute of Surveying and Mapping, Zhengzhou, China;Zhengzhou Institute of Surveying and Mapping, Zhengzhou, China;Zhengzhou Institute of Surveying and Mapping, Zhengzhou, China
Venue:
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Year:
2012

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Abstract

As the key technique of spatial data integration and updating, identical entity matching is to establish the relationship between geographic entities from multi-source spatial databases. It aims to make full use of diverse data from multiple sources. This paper discusses several geometric matching methods for entities with the same names, including geometry matching for same scale road networks, geometry matching for multi-scale road networks, and vector data and image matching.