Capítulo de livro Revisado por pares

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

2018; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-93417-4_34

ISSN

1611-3349

Autores

Blake Regalia, Krzysztof Janowicz, Gengchen Mai, Dalia E. Varanka, E. Lynn Usery,

Tópico(s)

Advanced Computational Techniques and Applications

Resumo

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.

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