An algorithm for expert finding in areas based on Lattes’ curriculum

Authors

  • Fellipe de Melo Chagas Universidade de São Paulo
  • José de Jésus Pérez-Alcázar Universidade de São Paulo
  • Luciano Antonio Digiampietri Universidade de São Paulo

DOI:

https://doi.org/10.19132/1808-5245212.119-139

Keywords:

Expert finding. Lattes’ Curriculum. Social Network Analysis. Information retrieval.

Abstract

This paper proposes to formulate an algorithm made for building a ranking of experts based on Lattes’ curriculum data base. For this purpose, it was developed an algorithm based in three processing stages: Score Alfa, which analyzes the titles of documents based on ontology established to define the issues and priority of these subjects for each publication; Score Beta, that analyzes the publications’ quality using concepts defined by CAPES to benefit productions that are published in most important vehicles; and Score Propagated, which examines the importance of being well connected to other specialist researchers, spreading the knowledge gained through this contact. In order to validate the accuracy of the algorithm, it was used the actual data of the Nanotechnology’s area.

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Author Biographies

Fellipe de Melo Chagas, Universidade de São Paulo

Fellipe de Melo Chagas é graduando no Bacharelado em Sistemas de Informação da Universidade de São Paulo.

José de Jésus Pérez-Alcázar, Universidade de São Paulo

José de Jésus Pérez Alcázar possui graduação em Ingeniería de Sistemas y Computación - Universidad de Los Andes (1983), mestrado em Ciência da Computação pela Universidade Federal de Minas Gerais (1988) e doutorado em Informática pela Pontifícia Universidade Católica do Rio de Janeiro (1995). Atualmente é professor-doutor ms3 da Universidade de São Paulo. Tem experiência na área de Ciência da Computação, com ênfase em Banco de Dados e Inteligência Artificial, atuando principalmente nos seguintes temas:web semântica, serviços web semânticos, web, sistemas multiagentes, tecnologia de informação e planejamento estratégico de tecnologia de informação.

Luciano Antonio Digiampietri, Universidade de São Paulo

Desde abril de 2008 Luciano Antonio Digiampietri é professor em RDIDP no curso de Sistemas de Informação da Escola de Artes Ciências e Humanidades (EACH) da Universidade de São Paulo (USP). Possui Doutorado em Ciência da Computação pela Universidade de Campinas (UNICAMP) e é Bacharel em Ciência da Computação pela UNICAMP.

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Published

2015-09-17

How to Cite

CHAGAS, Fellipe de Melo; PÉREZ-ALCÁZAR, José de Jésus; DIGIAMPIETRI, Luciano Antonio. An algorithm for expert finding in areas based on Lattes’ curriculum. Em Questão, Porto Alegre, v. 21, n. 2, p. 119–139, 2015. DOI: 10.19132/1808-5245212.119-139. Disponível em: https://seer.ufrgs.br/index.php/EmQuestao/article/view/52652. Acesso em: 11 oct. 2026.

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