@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix orcid: <https://orcid.org/> .
@prefix this: <http://purl.org/np/RAVMVENZ9EjRYs757XSejpIwpzDLL1ll-IBpBc92j6y5c> .
@prefix sub: <http://purl.org/np/RAVMVENZ9EjRYs757XSejpIwpzDLL1ll-IBpBc92j6y5c#> .
@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 "To understand the strengths and limitations of crowdsourcing in this scenario, we further executed automated baseline approaches to compare them to the results of our crowdsourcing experiments. We show that while they may be amenable to pre-filtering RDF triple data for ontological inconsistencies (thus poten- tially decreasing the amount of cases necessary to be browsed in the Find stage), a substantial part of quality issues can only be addressed via human intervention.";
    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 "2019-11-10T12:34:11+01:00"^^xsd:dateTime;
    pav:createdBy orcid:0000-0002-7114-6459 .
}