@prefix dc: <http://purl.org/dc/terms/> .
@prefix this: <http://purl.org/np/RAwhfD_vTvYIFME08o3rucXvRBRJyEHDWUKcZMJKUBZlY> .
@prefix sub: <http://purl.org/np/RAwhfD_vTvYIFME08o3rucXvRBRJyEHDWUKcZMJKUBZlY#> .
@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 "DBPEDIA [23], FREEBASE [8] and YAGO [21] represent the most mature approaches for automatically building KBs from Wikipedia. Despite its crowd- sourced nature (i.e., fully manual), WIKIDATA [31] benefits from a rapidly growing community of active users, who have developed several robots for automatic imports of Wikipedia and third-party data. The KNOWLEDGE VAULT [11] is an example of KB construction combining Web-scale textual corpora, as well as additional semi-structured Web data such as HTML tables. Although our system may potentially create a KB from scratch from an input corpus, we prefer to improve the quality of existing resources and integrate into them, rather than developing a standalone one." ;
    a doco:Paragraph .
}
sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-170269> ;
    prov:wasAttributedTo <https://orcid.org/0000-0002-5456-7964> .
}
sub:pubinfo {
  this: dc:created "2019-11-10T18:05:11+01:00"^^xsd:dateTime ;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}