@techreport{TR-IC-PFG-19-34,
   number = {IC-PFG-19-34},
   author  =  {Henrique Noronha Facioli, Thiago Silva de Farias, Julio
                   Cesar dos Reis},
   title = {{Integrating Scholarly Data with Knowledge Graphs}},
   month = {December},
   year = {2019},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 20 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Scholarly  data  platforms  have  been  extensively established
       internationally.  However,  although  in the Brazilian academic
       community  there  is  large  academic research platforms, e.g.,
       Lattes,  containing  incredible amounts of information, it does
       not offer a structured way to query and analyze this data. Such
       informa-  tion  remains  in an isolated way without connections
       with  other  sources, which prevents interesting data analyses.
       In  this  work,  we  design  and  develop  the Knowlattes Graph
       framework  for  generating Knowledge graphs from scholarly data
       sources.  We  explore the current Lattes platform by extracting
       information  from it to create a RDF triple store. In addition,
       we  provide  techniques  to  cre-  ate links to external triple
       datasets,   building  a  knowledge  graph  for  scholarly  data 
       containing Brazilians researchers and publications.
  }
}