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
Link To Document