Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the OpenData Cloud

0Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The aim of this work is to explore the opportunities offered by semantic standardization to interlink primary “spatial data” (GI) from “OpenStreetMap” (OSM) with repositories of the “Linked Open Data Cloud” (LOD). Research in natural sciences can generate vast amounts of spatial data, where Wikidata could be considered as the central hub between more detailed natural science hubs on the spatial semantic web. Wikidata is a world readable and writable community-driven knowledge base. It offers the opportunity to collaboratively construct an open access knowledge graph that spans biology, medicine, and all other domains of knowledge. In this study we discuss the opportunities and challenges provided by exploring Wikidata as a central integration facility by interlink it with OSM, a popular, community drives collection of free geographic data. This is empowered by the reuse of terms and properties from commonly understood controlled vocabularies that represent their respective well-identified knowledge domains.

Cite

CITATION STYLE

APA

Leyh, W., & Filho, H. F. (2018). Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the OpenData Cloud. In Advances in Intelligent Systems and Computing (Vol. 592, pp. 85–96). Springer Verlag. https://doi.org/10.1007/978-3-319-60366-7_9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free