Examining Gazetteer Ontologies using Spatial Statistics
Track: Research & Sciences
Authors: Rui Zhu
Digital gazetteers differ in not only their coverage, data sources, and functionality, but also their geographic feature type ontologies. This makes data integration and federated queries challenging. To address this issue, we propose to derive spatial signatures for feature types by using spatial statistics. We discuss how to create such signatures by feature engineering and demonstrate how the signatures can be applied to better understand the differences and commonalities of major gazetteers.