@prefix this: <http://purl.org/np/RA5fuU_uWu1njvRQWUS219DTvYKuVLVIuimViT1eUIFYM> .
@prefix sub: <http://purl.org/np/RA5fuU_uWu1njvRQWUS219DTvYKuVLVIuimViT1eUIFYM#> .
@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 "The evaluation of the results showed that it is feasible to crowdsource the detection of flaws in LD sets; in particular, the experiments revealed that (i) lay workers are in fact able to detect certain quality issues with satisfactory precision; that (ii) experts perform well in identifying triples with ‘object value’ or ‘datatype’ issues, and lastly, (iii) the two approaches reveal complementary strengths.";
    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> .
}