Busc@NIMA: An information retrieval system with environmental semantics

  • André L. C. Rêgo Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
  • Daniel S. Guimarães Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
  • Marcos V. Villas Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
  • Sérgio Lifschitz Pontifical Catholic University of Rio de Janeiro (PUC-Rio) https://orcid.org/0000-0003-3073-3734
DOI: https://doi.org/10.5753/sbbd_estendido.2022.21842

Abstract


We present the Busc@NIMA system, which allows the identification of competences, in the area of ​​the environment, existing in laboratories and departments of PUC-Rio, coordinated by members of the staff of professors-researchers. Initially, we explain how to obtain the data, convert it to RDF format using domain ontologies and transformations using the XSLT language. We use a Relational Database System and two NoSQL Systems, of the key-value type and also based on graphs. The systems bring performance to the operating environment and allow you to express queries in the SparQL language and natively support free text indexing. The result of any search on Busc@NIMA returns the list of names of professors or researchers, their scientific productions and teaching activities, contemplating only information related to members of the PUC-Rio community who work with the theme of the environment. Despite the particular context of the area, the solution presented here can be extended and customized for specific topics other than the environment. We illustrate how the system works in production with a case study of selected searches.

Keywords: Recovery System, Web, Database, NIMA

References

Baeza-Yates, R. and Ribeiro-Neto, B. A. (2011). Modern Information Retrieval - the concepts and technology behind search, Second edition. Pearson Education Ltd.

Salgueiro, M., dos Santos, V., R., A.L.C., Guimaraes, D., Haeusler, E.H., d. S., J., V., and M.V., Lifschitz, S. (2021). Quem@puc - a tool to find researchers at puc-rio. In Anais Estendidos (DEMOS) do Simpósio Brasileiro de Bancos de Dados (SBBD), pages 93–98.
Published
2022-09-19
How to Cite

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RÊGO, André L. C.; GUIMARÃES, Daniel S.; VILLAS, Marcos V.; LIFSCHITZ, Sérgio. Busc@NIMA: An information retrieval system with environmental semantics. In: WORKSHOP ON UNDERGRADUATE STUDENT WORK (WTAG) - BRAZILIAN SYMPOSIUM ON DATABASES (SBBD), 37. , 2022, Búzios. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 47-52. DOI: https://doi.org/10.5753/sbbd_estendido.2022.21842.