Conference paper Open Access

Centaur VGI: Evaluating a human-machine workflow for increased productivity during humanitarian mapping campaigns

Watkinson, Kirsty; Huck, Jonathan; Harris, Angela


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.4664543">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.4664543</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.4664543"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Watkinson, Kirsty</foaf:name>
        <foaf:givenName>Kirsty</foaf:givenName>
        <foaf:familyName>Watkinson</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>MCGIS, Department of Geography, University of Manchester</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Huck, Jonathan</foaf:name>
        <foaf:givenName>Jonathan</foaf:givenName>
        <foaf:familyName>Huck</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>MCGIS, Department of Geography, University of Manchester</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Harris, Angela</foaf:name>
        <foaf:givenName>Angela</foaf:givenName>
        <foaf:familyName>Harris</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>MCGIS, Department of Geography, University of Manchester</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>Centaur VGI: Evaluating a human-machine workflow for increased productivity during humanitarian mapping campaigns</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-04-06</dct:issued>
    <owl:sameAs rdf:resource="https://zenodo.org/record/4664543"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/4664543</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.4664542"/>
    <dct:description>&lt;p&gt;The spatial and temporal distribution of global map data is highly unequal, with large areas of the world suffering from a paucity of data. Volunteered geographic information (VGI) has been vaunted as a potential solution, but is also criticised for reinforcing rather than alleviating inequalities. Human- machine workflows have been suggested to improve the speed and quality of VGI production for poorly mapped regions, but this ability is yet to be fully evaluated. This paper provides the first detailed evaluation of a human-machine workflow, testing its ability to produce high quality, timely data in remote regions often neglected by humanitarian mapping campaigns.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.4664543"/>
        <dcat:byteSize>810507</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/4664543/files/GISRUK2021_paper_15.pdf"/>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
91
61
views
downloads
All versions This version
Views 9191
Downloads 6161
Data volume 49.4 MB49.4 MB
Unique views 8484
Unique downloads 5757

Share

Cite as