@prefix this: <http://purl.org/np/RAyIZ0p1we9vpS5IWcZdlFm86ThNe1LhyKRHw3etJuHXc> .
@prefix sub: <http://purl.org/np/RAyIZ0p1we9vpS5IWcZdlFm86ThNe1LhyKRHw3etJuHXc#> .
@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 "These categories of quality problems occur pervasively in DBpedia. These problems might be present in other data sets which are extracted in a similar fashion as DBpedia. Given the diversity of the situations in which they can be instantiated (broad range of datatypes and object values) and their sometimes deeply contextual character (interlinking), assessing them automatically is challenging. In the following we explain how crowdsourcing could support quality assessment processes." ;
    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 "2019-11-10T12:34:11+01:00"^^xsd:dateTime ;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}