GNIS-LD: Serving and visualizing the Geographic Names Information System Gazetteer as linked data

By: , and 

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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.

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title GNIS-LD: Serving and visualizing the Geographic Names Information System Gazetteer as linked data
DOI 10.1007/978-3-319-93417-4_34
Year Published 2018
Language English
Publisher Springer
Contributing office(s) National Geospatial Program
Description 13 p.
Larger Work Type Book
Larger Work Subtype Conference publication
Larger Work Title The semantic web; 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings
First page 528
Last page 540
Conference Title 15th International Conference, ESWC 2018
Conference Location June 3–7, 2018
Conference Date Heraklion, Crete, Greece