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GeoLinked data and INSPIRE through an application case

  • Luis M. Vilches-Blázquez
  • , Boris Villazón-Terrazas
  • , Victor Saquicela
  • , Alexander De León
  • , Oscar Corcho
  • , Asunción Gómez-Pérez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Scopus citations

Abstract

In this paper we present the process that has been followed for the development of an application that makes use of several heterogeneous Spanish public datasets that are related to three themes of INSPIRE Directive, specifically Administrative Units, Hydrography, and Statistical Units. Our application aims at analysing existing relations between the Spanish coastal area and different statistical variables such as population, unemployment, dwelling, industry, and building trade. Besides providing methodological guidelines for the generation, publishing and exploitation of Linked Data from such datasets, we provide an important innovation with respect to other similar processes followed in other initiatives by dealing with the geometrical information of features.

Original languageEnglish
Title of host publication18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
Pages446-449
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010 - San Jose, CA, United States
Duration: 2 Nov 20105 Nov 2010

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
Country/TerritoryUnited States
CitySan Jose, CA
Period2/11/105/11/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Geospatial and statistical information
  • INSPIRE
  • Linked Data
  • RDF

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