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

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Advances in Human Factors and Systems Interaction (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 592))

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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.

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Authors and Affiliations

  1. Department of Computer Science, University of São Paulo (USP), São Paulo, Brazil

    Werner Leyh

  2. Environmental Management, School of Arts, Sciences and Humanities, University of São Paulo (USP), São Paulo, SP, Brazil

    Homero Fonseca Filho

Authors
  1. Werner Leyh
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  2. Homero Fonseca Filho
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Correspondence to Werner Leyh .

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Editors and Affiliations

  1. Dept Engg. Mecanica e Industrial, Universidade Nova de Lisboa, Caparica, Portugal

    Isabel L. Nunes

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Leyh, W., Filho, H.F. (2018). Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the OpenData Cloud. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-60366-7_9

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-60366-7

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