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Enhanced Geographically-Typed Semantic Schema Matching
2011
Social Science Research Network
Resolving semantic heterogeneity across distinct data sources remains a highly relevant problem in the GIS domain requiring innovative solutions. Our approach, called GSim, semantically aligns tables from respective GIS databases by first choosing attributes for comparison. We then examine their instances and calculate a similarity value between them called entropy-based distribution (EBD) 1 by combining two separate methods. Our primary method discerns the geographic types from instances of
doi:10.2139/ssrn.3199506
fatcat:62tjzqiqg5abnovgixgl7t5qqa