Ontological approach to qualification matching based on competences: model and methods
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- Category: Economy and management
- Last Updated on 11 January 2018
- Published on 11 January 2018
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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
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