A relational model of data for large shared data banks
Communications of the ACM
A confidence-based framework for disambiguating geographic terms
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
A confidence-based framework for disambiguating geographic terms
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Extracting geographic features from the Internet to automatically build detailed regional gazetteers
International Journal of Geographical Information Science
Automatic gazetteer enrichment with user-geocoded data
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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We define a data model for storing geographic information from multiple sources that enables the efficient production of customizable gazetteers. The GazDB separates names from features while storing the relationships between them. Geographic names are stored in a variety of resolutions to allow for i18n and for multiplicity of naming. Geographic features are categorized along several axes to facilitate selection and filtering.