Keyword Search over the COVID-19 Data

  • Yenier Torres Izquierdo Pontifícia Universidade Católica do Rio de Janeiro
  • Grettel Monteagudo Garcia Pontifícia Universidade Católica do Rio de Janeiro
  • Melissa Lemos Pontifícia Universidade Católica do Rio de Janeiro
  • Alexandre Novello Pontifícia Universidade Católica do Rio de Janeiro
  • Bruno Novelli Pontifícia Universidade Católica do Rio de Janeiro
  • Cleber Damasceno Pontifícia Universidade Católica do Rio de Janeiro
  • Luiz André P. P. Leme Universidade Federal Fluminense
  • Marco Antonio Casanova Pontifícia Universidade Católica do Rio de Janeiro


Keyword search is typically associated with information retrieval systems. However, recently, keyword search has been expanded to relational databases and RDF datasets, as an attractive alternative to traditional database access. With this motivation, this paper first introduces a platform for data and knowledge retrieval, called DANKE, concentrating on the keyword search component. It then describes an application that uses DANKE to implement keyword search over two COVID-19 data scenarios.

Palavras-chave: keyword search, COVID-19, data retrieval, knowledge retrieval


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TORRES IZQUIERDO, Yenier; MONTEAGUDO GARCIA, Grettel; LEMOS, Melissa; NOVELLO, Alexandre; NOVELLI, Bruno; DAMASCENO, Cleber; LEME, Luiz André P. P. ; CASANOVA, Marco Antonio. Keyword Search over the COVID-19 Data. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 35. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 205-210. ISSN 2763-8979. DOI: