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Published in:
2018 | OriginalPaper | Chapter
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the OpenData Cloud
Authors : Werner Leyh, Homero Fonseca Filho
Published in: Advances in Human Factors and Systems Interaction
Publisher: Springer International Publishing
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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.