Finding Corresponding Objects when Integrating Several Geo-Spatial Datasets Catriel Beeri, Yerach Doytsher, Yaron Kanza, Eliyahu Safra, and Yehoshua Sagiv   View Paper (PDF)   Return to Session 3: Data Integration and Data Mining Abstract When integrating geo-spatial datasets, a join algorithm is used for finding sets of corresponding objects (i.e., objects that represent the same real-world entity). Algorithms for joining two datasets were studied in the past. This paper investigates integration of three datasets and proposes methods that can be easily generalized to any number of datasets. Two approaches that use only locations of objects are presented and compared. In one approach, a join algorithm for two datasets is applied ... ©2006 Association for Computing Machinery