Comparing competences on academia and occupational contexts based on similarity measures

Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/handle/123456789/19039

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DC Field	Value	Language
dc.contributor.author	Quezada Sarmiento, P.	es_ES
dc.contributor.author	Ludeña Gonzalez, P.	es_ES
dc.contributor.author	Gonzalez Eras, A.	es_ES
dc.date.accessioned	2017-06-16T22:02:49Z	-
dc.date.available	2015-03-12	es_ES
dc.date.available	2017-06-16T22:02:49Z	-
dc.date.issued	2015-05-22	es_ES
dc.date.submitted	22/05/2015	es_ES
dc.identifier.issn	978-989758106-9	es_ES
dc.identifier.uri	http://dspace.utpl.edu.ec/handle/123456789/19039	-
dc.description.abstract	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.	es_ES
dc.language	Inglés	es_ES
dc.subject	body of knowledge	es_ES
dc.subject	machine learning	es_ES
dc.subject	similarity measures	es_ES
dc.subject	professional profile	es_ES
dc.subject	disco ii	es_ES
dc.subject	vsm	es_ES
dc.subject	nlp	es_ES
dc.title	Comparing competences on academia and occupational contexts based on similarity measures	es_ES
dc.type	Article	es_ES
dc.publisher	WEBIST 2015 - 11th International Conference on Web Information Systems and Technologies, Proceedings	es_ES
Appears in Collections:	Artículos de revistas Científicas

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