@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix orcid: <https://orcid.org/> .
@prefix this: <http://purl.org/np/RAg7qdVlUQ_RW0VrSuL_7WkQAvfeWCA-MabcqaALsD74g> .
@prefix sub: <http://purl.org/np/RAg7qdVlUQ_RW0VrSuL_7WkQAvfeWCA-MabcqaALsD74g#> .
@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 "This Find stage applies microtasks solved by lay users from a crowdsourcing platform. In order to perform a fair comparison between the performance of LD experts and crowd workers, in this variant of the Find stage we aimed at implementing a similar workflow (including a similar user interface) for the crowd workers as the one provided to the LD experts. Therefore, in this stage the crowd is enquired for identifying quality issues on a set of RDF triples associated with RDF resources from the DBpedia data set. However, given that crowd workers are not necessarily knowledgeable about RDF or Linked Data, each microtask was augmented with human-readable information associated with the RDF triples. Formally, in our approach, a microtask is defined as follows.";
    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 "2019-11-08T18:05:11+01:00"^^xsd:dateTime;
    pav:createdBy orcid:0000-0002-7114-6459 .
}