GNIS-LD: Serving and visualizing the Geographic Names Information System Gazetteer as linked data
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
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.
| 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 |
| Google Analytic Metrics | Metrics page |