A MODEL FOR COMPETENCE GAP ANALYSIS

Juri L. De Coi, Eelco Herder, Arne Koesling, Christoph Lofi, Daniel Olmedilla, Odysseas Papapetrou, Wolf Siberski

Abstract

Modeling competences is an integral part of many Human Resource (HR) and e-Learning related activities. HR departments use competence descriptions to define requirements needed for performing specific tasks or jobs. The same competences are acquired by employees and applicants by e.g. experience or certifications. Typically, HR departments need to match such required and acquired competences in order to find suitable candidates. In e-Learning a similar situation arises. Curricula or training programmes need to describe pre-requisites that must be fulfilled before joining and the competences that will be acquired after successful completion. This paper analyses the limitations and extends existing approaches for modeling competences in order to allow (semi-)automatic competence matching.

References

  1. Cheetam, G. and Chivers, G. (2005). Professions, Competence and Informal Learning. Edgard Elgar Publishing Limited.
  2. Colucci, S., Noia, T. D., Sciascio, E. D., Donini, F. M., Mongiello, M., and Mottola, M. (2003). A formal approach to ontology-based semantic match of skills descriptions. J. UCS, 9(12):1437-1454.
  3. de Bruijn, J. and Polleres, A. (2004). Towards an ontology mapping specification language for the semantic web. DERI Technical Report.
  4. HR-XML (2004). HR-XML Measurable Competencies. http://www.hr-xml.org.
  5. IEEE RCD (2005). IEEE 1484.20.1/draft - draft standard for Reusable Competency Definitions (RCD). http://ieeeltsc.org/wg20Comp/Public/ IEEE 1484.20.1.D3.pdf.
  6. IMS RDCEO (2002). IMS Reusable Definition of Competency or Educational Objective (RDCEO). http://www.imsglobal.org/competencies/.
  7. Lau, T. and Sure, Y. (2002). Introducing ontology-based skills management at a large insurance company. In Modellierung 2002, Modellierung in der Praxis - Modellierung für die Praxis, pages 123-134, Tutzing, Deutschland.
  8. Lefebvre, B., Gauthier, G., Tadié, S., Duc, T. H., and Achaba, H. (2005). Competence ontology for domain knowledge dissemination and retrieval. Applied Artificial Intelligence, 19(9-10):845-859.
  9. Rahm, E. and Bernstein, P. A. (2001). A survey of approaches to automatic schema matching. VLDB J., 10(4):334-350.
  10. Riehle, D. (1997). Composite design patterns. In ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages & Applications, pages 218-228.
  11. SRCM (2006). Simple Reusable Competency Map proposal (SRCM). http://www.ostyn.com/resources.htm.
  12. Sure, Y., Maedche, A., and Staab, S. (2000). Leveraging corporate skill knowledge - from proper to ontoproper. In Mahling, D. and Reimer, U., editors, 3rd International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland.
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Paper Citation


in Harvard Style

L. De Coi J., Herder E., Koesling A., Lofi C., Olmedilla D., Papapetrou O. and Siberski W. (2007). A MODEL FOR COMPETENCE GAP ANALYSIS . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST, ISBN 978-972-8865-79-5, pages 304-312. DOI: 10.5220/0001272603040312


in Bibtex Style

@conference{webist07,
author={Juri L. De Coi and Eelco Herder and Arne Koesling and Christoph Lofi and Daniel Olmedilla and Odysseas Papapetrou and Wolf Siberski},
title={A MODEL FOR COMPETENCE GAP ANALYSIS},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,},
year={2007},
pages={304-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001272603040312},
isbn={978-972-8865-79-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,
TI - A MODEL FOR COMPETENCE GAP ANALYSIS
SN - 978-972-8865-79-5
AU - L. De Coi J.
AU - Herder E.
AU - Koesling A.
AU - Lofi C.
AU - Olmedilla D.
AU - Papapetrou O.
AU - Siberski W.
PY - 2007
SP - 304
EP - 312
DO - 10.5220/0001272603040312