Abstract
The chapter addresses the issue of correspondence between the skills required by employers and the professional competencies of specialists in the IT field. The discrepancy between the said sets has been highlighted. An approach based on extracting skills from the natural language vacancies texts published on the job aggregators sites is proposed. The method allows for analyzing the required professional competences from the employers’ point of view to eliminate the identified differences. Possible ways of structuring the selected skills including ontological modeling and cluster analysis are described. An ontological model has been created to proceed with the hierarchical structuring of the professional competencies set. Skill groups have been formed based on domain knowledge, and cluster analysis has been applied to form workload sets. The method of dynamic cluster formation and skill attribution to a particular group within the domain is described. The applied aspects of the approaches are examined using data of Russian regions and federal states of Germany. The differences between a set of workloads and a skill set are determined. The strengths and weaknesses of the highlighted approaches are described. The automation method of demand planning for IT specialists based on an integrated model combining the described approaches above is suggested. Prospects for its further application are outlined.
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Yarullin, D.V., Faizrakhmanov, R.A., Fominykh, P.Y. (2021). Automation of Demand Planning for IT Specialists Based on Ontological Modelling. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Cyberspace for Advanced Human-Centered Society. Studies in Systems, Decision and Control, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-63563-3_4
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