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GNIS-LD: Serving and Visualizing the Geographic Names Information System Gazetteer as Linked Data

  • Blake Regalia
  • Krzysztof Janowicz
  • Gengchen Mai
  • Dalia Varanka
  • E. Lynn Usery
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10843)

Abstract

In this dataset description paper we introduce the GNIS-LD, an authoritative and public domain Linked Dataset derived from the Geographic Names Information System (GNIS) which was developed by the U.S. Geological Survey (USGS) and the U.S. Board on Geographic Names. GNIS provides data about current, as well as historical, physical, and cultural geographic features in the United States. We describe the dataset, introduce an ontology for geographic feature types, and demonstrate the utility of recent linked geographic data contributions made in conjunction with the development of this resource. Co-reference resolution links to GeoNames.org and DBpedia are provided in the form of owl:sameAs relations. Finally, we point out how the adapted workflow is foundational for complex Digital Line Graph (DLG) data from the USGS National Map and how the GNIS-LD data can be integrated with DLG and other data sources such as sensor observations.

Keywords

Linked data gazetteer Geographic Names Information System Geospatial semantics Feature type ontology 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.STKO LabUniversity of CaliforniaSanta BarbaraUSA
  2. 2.U.S. Geological SurveyRestonUSA

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