Comparing competences on academia and occupational contexts based on similarity measures

This paper is a first contribution of a schema to match professional and work competences through similarity measures. In this contribution we focus on the determination of connections between university profiles based in standards (body of knowledge and thesauri) similarity measures and Natural Language Processing (NLP) techniques. Our first experiments proved that this hybrid schema got a promise results in the recognition of competency patterns in order to apply in the laboral context.

• Main Author: Quezada Sarmiento, P. (author)
• Other Authors: Ludeña Gonzalez, P. (author), Gonzalez Eras, A. (author)
• Format: article
• Published: 2015
• Subjects: body of knowledge; machine learning; similarity measures; professional profile; disco ii; vsm; nlp
• Online Access: http://dspace.utpl.edu.ec/handle/123456789/19039