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
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;
Conference_Titel :
Information Systems and Technologies (CISTI), 2011 6th Iberian Conference on
Conference_Location :
Chaves
Print_ISBN :
978-1-4577-1487-0
