@techreport{TR-IC-PFG-20-25,
   number = {IC-PFG-20-25},
   author = {Vitor Kenji {Uema} and Julio Cesar {dos Reis}},
   title = {{Link Visualization and Evaluation in LOD}},
   month = {January},
   year = {2021},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 24 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       In  Linked  Data,  data  sets should include links to others by
       interlinking new information with existing resources. This must
       improve  the  “discoverability” of new and existing data in LOD
       (Linked  Open Data) cloud. However, this is somewhat overlooked
       because  finding  and  maintaining links between different data
       sets  are  a  costly  and time consuming task. In this work, we
       designed  and  implemented  an  interactive  system  to support
       quality  inspection  of links. This must help and incentive LOD
       players to find and maintain links. In our approach, evaluating
       a link is based on two graphical representations: a radar chart
       and  a  network  graph.  The  radar  chart  is  used to display
       similarity  values  between  the  subject and the object of the
       link;  and  the  network  graph  is  used to display the link’s
       subject  and  object.  We  present to which extent our proposed
       interaction  mechanisms  help users to evaluate the correctness
       of  a  link,  which  is  an  essential task for preserving data
       quality in LOD data sets.
  }
}