Automatic identification of teams based on textual information retrieval

被引：0

作者：

Enembreck, Fabricio ^{[1
]}

Scalabrin, Edson E. ^{[1
]}

Tacla, Cesar A. ^{[2
]}

Avila, Braulio C. ^{[1
]}

机构：

[1] Pontificia Univ Catolica Parana, R Imaculada Conceicao,1155, BR-80215901 Curitiba, Parana, Brazil

[2] Univ Technol Fed Parana, Curitiba, Parana, Brazil

来源：

2006 10TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, PROCEEDINGS, VOLS 1 AND 2 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 (C Vs). 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.

引用

页码：534 / 538

页数：5

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