@prefix dc: .
@prefix this: .
@prefix sub: .
@prefix xsd: .
@prefix prov: .
@prefix pav: .
@prefix np: .
@prefix linkflows: .
sub:Head {
this: np:hasAssertion sub:assertion;
np:hasProvenance sub:provenance;
np:hasPublicationInfo sub:pubinfo;
a np:Nanopublication .
}
sub:assertion {
sub:comment-15 a linkflows:ActionNeededComment, linkflows:ContentComment, linkflows:NegativeComment,
linkflows:ReviewComment;
linkflows:hasCommentText "The comparison with Legalo is unfair (cf. [8] for more details) In fact, Legalo: * relies on FRED (and its frame-based representation of natural language sentences) for generating binary relations; * works either on Wikipedia articles or generic free text inputs; * can be used for KB enrichment (cf. property matcher in the architecture of Legalo). [8] \"From hyperlinks to Semantic Web properties using Open Knowledge Extraction\". Valentina Presutti, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, and Diego Reforgiato. Accepted for publication on Semantic Web Journal (http://semantic-web-journal.org/system/files/swj1195.pdf).";
linkflows:hasImpact "3"^^xsd:positiveInteger;
linkflows:refersTo .
}
sub:provenance {
sub:assertion prov:hadPrimarySource ;
prov:wasAttributedTo .
}
sub:pubinfo {
this: dc:created "2019-11-26T09:05:11+01:00"^^xsd:dateTime;
pav:createdBy .
}