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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2015: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection pp 389–397Cite as

A Case-Based Multi-Agent and Recommendation Environment to Improve the E-Recruitment Process

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 524))

Abstract

The current growth of information and communication technologies has promoted the development of tools in order to facilitate the process of e-recruitment; benefiting both recruiters as jobseekers. This paper presents a case-based Multi-Agent System which aims at integrating an ontology in order to select and to recommend adapted jobseekers to the recruiter job postings or vice versa. For this reason, the ontology considers the HR-XML standard for map-ping CVs in order to standardize the knowledge representation. The MAS was designed following the Prometheus Methodology and then a prototype has been implemented. A case study was performed within a testing phase in order to validate our work. As a result of this phase, we can prove the effectiveness of using this kind of technologies in the e-recruitment process.

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Author information

Authors and Affiliations

  1. Universidad Nacional de Colombia, Sede Medellín, Medellín, Colombia

    Oscar M. Salazar, Juan C. Jaramillo, Demetrio A. Ovalle & Jaime A. Guzmán

Authors
  1. Oscar M. Salazar
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  2. Juan C. Jaramillo
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  3. Demetrio A. Ovalle
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  4. Jaime A. Guzmán
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Corresponding author

Correspondence to Demetrio A. Ovalle .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  3. Faculty of Engineering Management, Poznan University, Poznan, Poland

    Pawel Pawlewski

  4. Departamento de Sistemas Informáticos y Computación, Polytechnic University of Valencia, Valencia, Spain

    Vicente Botti

  5. Fluminense Federal University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  6. Universidad Nacional de Colombia, Manizales, CALDAS, Colombia

    Nestor Darío Duque Méndez

  7. Lab. Nacional de Energia e Geologia, Lisbon, Portugal

    Fernando Lopes

  8. Universidad Politécnica de Valencia, Valencia, Spain

    Vicente Julian

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Salazar, O.M., Jaramillo, J.C., Ovalle, D.A., Guzmán, J.A. (2015). A Case-Based Multi-Agent and Recommendation Environment to Improve the E-Recruitment Process. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. PAAMS 2015. Communications in Computer and Information Science, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-319-19033-4_34

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  • DOI: https://doi.org/10.1007/978-3-319-19033-4_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19032-7

  • Online ISBN: 978-3-319-19033-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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