Ontological approach to qualification matching based on competences: model and methods

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Authors:

Yu.V. Rogushina, Candidate of Physics and Mathematics, Associate Professor, orcid.org/0000-0001-7958-2557, Senior Research Fellow of Institute of Software Systems of the National Academy of Sciences of Ukraine, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S.M. Pryima, Doctor of Pedagogical Sciences, Professor, orcid.org/0000-0002-2654-5610, Tavria State Agrotechnological University, Professor of the Department of Computer Sciences, Melitopol, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract:

Purpose. Developing a matching method for the qualifications specified by different national and international qualification systems. This matching is an important part of efficient semantic retrieval of complex information objects, particularly, for the purpose of the European and National Qualifications Frameworks transparency.

Methodology. The proposed approach to qualification matching is based on ontological analyses of knowledge about human competencies. Ontologies provide formalization of such knowledge, its interoperability and powerful mechanisms for its automatic processing.

Findings. We develop an ontological model of qualifications for structured representation of various complex information objects (humans, disciplines, specialities, organizations, etc.). The ontological representation of competence knowledge about these objects provides their automatic matching.

Originality. Scientific novelty of this work deals with the use of atomic competencies as the main component of the original ontological qualification model that becomes an instrument for solving the complex scientific problem of qualification matching. Information about of atomic competencies represented by this ontology can be automatically retrieved from semantically marked Web resources.

Practical value. The results of the proposed research work are used for designing an intelligent system of information and cognitive maintenance of the National qualification framework functioning and can be integrated with different intelligent systems oriented on using the Web information resources.

References

1. European Commission, 2008. The European Qualifications Framework [online]. Available at: <http://ec.europa.eu/eqf/compare_en.htm> [Accessed 1 October 2016].

2. Gruber, T. R., 1991. The role of common ontology in achieving shareable, reusable knowledge bases [online]. Available at: <https://pdfs.semanticscholar.org/0256/614d1dc55962708db9b791f70a29370f1d76.pdf > [Accessed 15 November 2016].

3. Staab, S. and Studer, R., 2013. Handbook on ontologies. Heidelberg: Springer Science & Business Media.

4. Rogushina, Yu. and Gladun, A., 2012. Ontology-based competency analyses in new research domains. Journal of Computing and Information Technology, 20(4), pp. 277‒293.

5. Miranda, S., Orciuoli, F., Loia, V. and Sampson, D., 2016. An Ontology-based Model for Competence Management. Data & Knowledge Engineering, 107, рр. 51–66.

6. Lundqvist, K. O., Baker, K. D. and Williams, S. A., 2007. An ontological approach to competency management [online]. Available at: <http://www.eife-l.org/publications/proceedings/ilf07/Contribution110.doc.pdf> [Accessed 11 November 2016].

7. Krotzsch, M., Vrandecic, D. and Volkel, M., 2006. Semantic MediaWiki [online]. Available at: <http://c.unik.no/images/6/6d/SemanticMW.pdf > [Accessed 14 February 2017].

8. Parmeshwaran, P., Rege, J. and Nair, S., 2015. The Use of Ontology in Semantic Search Techniques. International Journal of Computer Applications, 127(6), рр. 21‒24.

9. Rogushina, Yu., 2016. Semantic Wiki resources and their use for the construction of personalized ontologies [online]. Available at: <http://ceur-ws.org/Vol-1631/188-195.pdf> [Accessed 14 February 2017].

10. Protege-OWL editor [online]. Available at: <https://protegewiki.stanford.edu/wiki/Protege-OWL> [Accessed 27 December 2016].

 

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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