@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix orcid: <https://orcid.org/> .
@prefix this: <http://purl.org/np/RAg1_8iwFJVlF28WMx_CBO5Qxzc7gFumfqkghpD08jMo0> .
@prefix sub: <http://purl.org/np/RAg1_8iwFJVlF28WMx_CBO5Qxzc7gFumfqkghpD08jMo0#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@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 "In our work, we used microtask crowdsourcing as a fast and cost-efficient way to examine the three types of DBPedia errors described in Section 2. We provided specific instructions to workers about how to assess RDF triples according to the three previous quality issues. We reached out to the crowd of the microtask marketplace Amazon Mechanical Turk (MTurk). In the following we present a summary of the relevant MTurk terminology:";
    a doco:Paragraph .
}

sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-160239>;
    prov:wasAttributedTo orcid:0000-0003-0530-4305 .
}

sub:pubinfo {
  this: dcterms:created "2019-11-07T12:47:11+01:00"^^xsd:dateTime;
    pav:createdBy orcid:0000-0002-7114-6459 .
}