@prefix dc: <http://purl.org/dc/terms/> .
@prefix this: <http://purl.org/np/RAo7H_9nuMIDMBpFSPUlBTdQJugVc0tYPAIlukZ5I6K48> .
@prefix sub: <http://purl.org/np/RAo7H_9nuMIDMBpFSPUlBTdQJugVc0tYPAIlukZ5I6K48#> .
@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 "We have started to expand our approach under the Wikidata umbrella, where we feed the primary sources tool. The community is currently concerned by the trustworthiness of Wikidata assertions: in order to authenticate them, they should be validated against references to external Web sources. Under this perspective, the FACT EXTRACTOR can serve as a reference suggestion mechanism for statement validation. To achieve this, we have successfully managed to switch the input corpus from Wikipedia to third-party corpora and translated our output to fit the Wikidata data model. The soccer use case has already been partially implemented: we have ran the baseline classifier and generated a small demonstra- tive dataset, named FBK-STREPHIT-SOCCER, which has been uploaded to the primary sources tool back-end. We invite the reader to play with it, by following the instructions in the project page. 32";
    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> .
}