• DocumentCode
    2765352
  • Title

    Automatic Identification of Teams Based on Textual Information Retrieval

  • Author

    Enembreck, Fabrício ; Scalabrin, Edson Emilio ; Tacla, Cesar A. ; Ávila, Braulio C.

  • Author_Institution
    Pontifical Catholic Univ. of Parana, Curitiba
  • fYear
    2006
  • fDate
    3-5 May 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A common problem in organizations is to identify people with the right competencies to form a specialized team, in academic or industrial environments, which is capable of executing a self-managed project of research and development (R & D). This work presents a technique that allows for identifying people who have the most appropriated competencies to form a R & D team extracting information from their curriculum vitas (CVs). Information extraction in this work is carried out by means of textual retrieval techniques in document databases. The system was evaluated with data of real projects producing expressive results when identifying people to participate in research projects
  • Keywords
    information retrieval; research and development management; team working; text analysis; curriculum vitas; document databases; information extraction; research and development; self-managed project; textual information retrieval; Brazil Council; Collaborative work; Data mining; Databases; Humans; Information retrieval; Management training; Project management; Research and development; Scholarships;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design, 2006. CSCWD '06. 10th International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    1-4244-0164-X
  • Electronic_ISBN
    1-4244-0165-8
  • Type

    conf

  • DOI
    10.1109/CSCWD.2006.253190
  • Filename
    4019226