@prefix this: <http://purl.org/np/RAPkEOyLSEu6xAwbDZWZXHGEgzKnIdcXF46Jj5yargmIU> .
@prefix sub: <http://purl.org/np/RAPkEOyLSEu6xAwbDZWZXHGEgzKnIdcXF46Jj5yargmIU#> .
@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 "Our methodology is applicable to any LD set and can be easily expanded to cover different types of quality issues. Our findings could also inform the design of the DBpedia extraction tools and related community processes, which already make use of contributions from volunteers to define the underlying map- ping rules in different languages. Finally, as with any form of computing, our work will be most useful as part of a broader architecture, in which crowdsourcing is brought together with automatic quality assessment and repair components and integrated into existing data governance frameworks.";
    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> .
}