Comparing competences on academia and occupational contexts based on similarity measures
Autor: | S Pablo Quezada, Carolina Gallardo, Alexandra González Eras, Patricia Ludeña González |
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Rok vydání: | 2015 |
Předmět: |
Informática
Knowledge management business.industry Computer science 02 engineering and technology computer.software_genre Body of knowledge 020204 information systems Schema (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing |
Zdroj: | WEBIST 2015 : 11th International Conference on Web Information Systems and Technologies : Proceedings | WEBIST 2015 : 11th International Conference on Web Information Systems and Technologies : May 20-22, Lisbon, Portugal | 20-22 de mayo de 2015 | Lisboa Archivo Digital UPM instname WEBIST |
Popis: | 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 |
Databáze: | OpenAIRE |
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