Content-Based Geospatial Schema Matching Using Semi-supervised Geosemantic Clustering and Hierarchy

@article{Partyka2011ContentBasedGS,
  title={Content-Based Geospatial Schema Matching Using Semi-supervised Geosemantic Clustering and Hierarchy},
  author={Jeffrey Partyka and Latifur Khan},
  journal={2011 IEEE Fifth International Conference on Semantic Computing},
  year={2011},
  pages={247-254}
}
The problem of semantic similarity across heterogeneous geospatial data sources continues to attract interest. Semantic similarity across data sources typically involves 1:1 matching of attributes and their instances between tables. Using clustering methods, three distinct challenges remain unaddressed. First, many clustering algorithms rely only on one… CONTINUE READING