@prefix dcterms: .
@prefix orcid: .
@prefix this: .
@prefix sub: .
@prefix xsd: .
@prefix prov: .
@prefix pav: .
@prefix np: .
@prefix doco: .
@prefix 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 two settings of the MTurk workers outperformed the baseline approach. The ‘first answer’ setting reports a precision of 0.62, while the ‘majority voting’ achieved a precision of 0.94. The 6% of the links that were not properly classified by the crowd corresponds to those web pages whose con- tent is in a different language than English or, de- spite they are referenced from the Wikipedia article of the subject, their association to the subject is not straightforward. Examples of these cases are the following subjects and links: ‘Frank Stanford’ and http://nwar.com/drakefield/ , ‘Forever Green’ and http://www.stirrupcup.co.uk . We hypothesize that the design of the user interface of the HITs – displaying a preview of the web pages to analyze – helped the workers to easily identify those links containing related content to the triple subject.";
a doco:Paragraph .
}
sub:provenance {
sub:assertion prov:hadPrimarySource ;
prov:wasAttributedTo orcid:0000-0003-0530-4305 .
}
sub:pubinfo {
this: dcterms:created "2019-09-20T18:05:11+01:00"^^xsd:dateTime;
pav:createdBy orcid:0000-0002-7114-6459 .
}