@prefix dc: <http://purl.org/dc/terms/> .
@prefix this: <http://purl.org/np/RAxVWqDeIac178uwrt-BYz35XMNdiIMuV8Aud8u-KwzFg> .
@prefix sub: <http://purl.org/np/RAxVWqDeIac178uwrt-BYz35XMNdiIMuV8Aud8u-KwzFg#> .
@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 linkflows: <https://github.com/LaraHack/linkflows_model/blob/master/Linkflows.ttl#> .

sub:Head {
  this: np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo;
    a np:Nanopublication .
}

sub:assertion {
  sub:comment-9 a linkflows:ActionNeededComment, linkflows:ContentComment, linkflows:NegativeComment,
      linkflows:ReviewComment;
    linkflows:hasCommentText "There should be more explanation on how the WiseNet architecture would overcome the computer vision limitations (false detections) before publishing this paper. Currently, there are only detections included and there is from my point of view no possibility to solve these false detections or occlusions.";
    linkflows:hasImpact "5"^^xsd:positiveInteger;
    linkflows:refersTo <http://purl.org/np/RAE04otO6dFur5i7-L2H4_SmSq7L80Y7kXAlkLvDyDfg0#paragraph> .
}

sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-180298>;
    prov:wasAttributedTo <https://orcid.org/0000-0001-9886-893X> .
}

sub:pubinfo {
  this: dc:created "2019-11-26T09:05:11+01:00"^^xsd:dateTime;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}