@prefix dc: <http://purl.org/dc/terms/> .
@prefix this: <http://purl.org/np/RAsF6FkbxGNWxMLSs72dB0QE7qZL69ECa4N_PeG1AmTW8> .
@prefix sub: <http://purl.org/np/RAsF6FkbxGNWxMLSs72dB0QE7qZL69ECa4N_PeG1AmTW8#> .
@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 "The extracted table contains a set of instances without any relations between them. That is why, the population query will create those relations using the WiseNET properties and then will insert them to the WiseNET ontology. To accomplish this, the population query will process row by row the extracted table. For exemplification, lets assume that the first row of the extracted table has the following values:" ;
    a doco:Paragraph .
}
sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-180298> ;
    prov:wasAttributedTo <https://orcid.org/0000-0002-8429-8208> .
}
sub:pubinfo {
  this: dc:created "2019-11-12T18:05:11+01:00"^^xsd:dateTime ;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}