• DocumentCode
    548752
  • Title

    SUCUPIRA: A system for Information extraction of the Lattes Platform to identify academic social networks

  • Author

    Alves, Alexandre Donizeti ; Yanasse, Horacia Hideki ; Soma, Nei Yoshihiro

  • Author_Institution
    Lab. de Comput. Aplic.-LAC, Inst. Nac. de Pesquisas Espaciais, São José dos Campos, Brazil
  • fYear
    2011
  • fDate
    15-18 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Today, the Lattes Platform is undoubtedly the major source of information on Brazilian researchers. Hence, it has a very high potential for extracting information. This paper describes “SUCUPIRA”, a system for Information extraction of the Lattes Platform to identify academic social networks.
  • Keywords
    information retrieval; social networking (online); Brazilian researchers; Lattes platform; SUCUPIRA; academic social networks; information extraction; Flexible printed circuits; Logic gates; Lattes Platform; academic social network; information extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2011 6th Iberian Conference on
  • Conference_Location
    Chaves
  • Print_ISBN
    978-1-4577-1487-0
  • Type

    conf

  • Filename
    5974195
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=548752