@prefix this: <http://purl.org/np/RA36UGw2WOFfO9fQVD3URoRj8dHtppgwDVQHzbX7gCWJI> .
@prefix sub: <http://purl.org/np/RA36UGw2WOFfO9fQVD3URoRj8dHtppgwDVQHzbX7gCWJI#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix pav: <http://purl.org/pav/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix doco: <http://purl.org/spar/doco/> .
@prefix c4o: <http://purl.org/spar/c4o/> .
sub:Head {
  this: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}
sub:assertion {
  sub:paragraph c4o:hasContent "Referring back to the research questions formulated in Section 1, our experiments let us identify the strengths and weaknesses of applying crowdsourcing mechanisms for data quality assessment, following the Find-Fix-Verify pattern. Regarding the precision achieved in both workflows, we compared the outcomes produced in each stage by the different crowds against a manually defined gold standard; precision values achieved by both crowds show that crowdsourcing workflows offer feasible solutions to enhance the quality of Linked Data data sets (RQ1)." ;
    a doco:Paragraph .
}
sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-160239> ;
    prov:wasAttributedTo <https://orcid.org/0000-0003-0530-4305> .
}
sub:pubinfo {
  this: dc:created "2019-11-10T18:05:11+01:00"^^xsd:dateTime ;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}