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Titel: Comparing competences on academia and occupational contexts based on similarity measures
Autor(en): Quezada Sarmiento, P.
Ludeña Gonzalez, P.
Gonzalez Eras, A.
Stichwörter: body of knowledge
machine learning
similarity measures
professional profile
disco ii
vsm
nlp
Erscheinungsdatum: 22-Mai-2015
Herausgeber: WEBIST 2015 - 11th International Conference on Web Information Systems and Technologies, Proceedings
Zusammenfassung: 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.
URI: http://dspace.utpl.edu.ec/handle/123456789/19039
ISSN: 978-989758106-9
metadata.dc.language: Inglés
Type: Article
Enthalten in den Sammlungen:Artículos de revistas Científicas

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